論文

• Isao YAMADA, Nobuhiko OGURA. Hybrid Steepest Descent Method for Variational Inequality Problem over the Fixed Point Set of Certain Quasi-Nonexpansive Mappings, Numerical Functional Analysis and Optimization, Vol. 25, No. 7&8, pp. 619-655, 2004.
• Isao YAMADA, Nobuhiko OGURA. Adaptive Projected Subgradient Method for Asymptotic Minimization of Sequence of Nonnegative Convex Functions, Numerical Functional Analysis and Optimization, Vol. 25, No. 7&8, pp. 593-617, 2004.
• Masahiro Yukawa, Renato L. G. Cavalcante, Isao Yamada. Efficient Blind MAI Suppression in DS/CDMA Systems by Embedded Constraint Parallel Projection Techniques, IEICE Trans. Fundamentals, Vol. E88-A, No. 8, pp. 2062-2071, Aug. 2005.
• 山田功. ハイブリッド最急降下法 -- 階層構造を持つ凸最適化問題の解法, 応用数理 (日本応用数理学会誌), Vol. 14, No. 3, pp. 248-258, 2004.
• Nobuhiko Ogura, Isao Yamada. A deep outer approximating half space of the level set of certain quadratic functions, Journal of nonlinear and convex analysis, Vol. 6, No. 1, pp. 187-201, 2005.
• Hiroshi Hasegawa, Toshiyuki Ono, Isao Yamada, Kohichi Sakaniwa. An iterative MPEG super-resolution with an outer approximation of framewise quantization constraint, IEICE Trans. Fundamentals, Vol. E88-A, No. 9, pp. 2427-2435, Sept. 2005.
• Keita Kume, Isao Yamada. Adaptive Localized Cayley Parametrization for Optimization over Stiefel Manifold and Its Convergence Rate Analysis, IEEE Access, IEEE, Vol. 12, pp. 131312 - 31323, Mar. 2024.  公式リンク  
  
• Yi Zhang, Isao Yamada. A Unified Framework for Solving a General Class of Nonconvexly Regularized Convex Models, IEEE Transactions on Signal Processing, vol. 71, Sept. 2023.
• Yang Chen, Masao Yamagishi, Isao Yamada. A unified design of generalized Moreau enhancement matrix for sparsity aware LiGME models, IEICE Transactions on Fundamentals, IEICE, vol. 106, no. 8, pp. 1025-1036, Aug. 2023.
• Masahiro Yukawa, Hiroyuki Kaneko, Kyohei Suzuki, Isao Yamada. Linearly-involved Moreau-enhanced-over-subspace model: Debiased sparse modeling and stable outlier-robust regression, IEEE Transactions on Signal Processing, IEEE, vol. 71, pp. 1232-1247, Mar. 2023.
• Keita Kume, Isao Yamada. Generalized left-localized Cayley parametrization for optimization with orthogonality constraints, Optimization, Nov. 2022.
• Wataru Yata, Masao Yamagishi, Isao Yamada. A constrained LiGME model and its proximal splitting algorithm under overall convexity condition, Journal of Applied and Numerical Optimization, Volume 4, Issue 2, pp. 245-271, Aug. 2022.
• Riku Akema, Masao Yamagishi, Isao Yamada. A Robust Canonical Polyadic Tensor Decomposition via Structured Low-Rank Matrix Approximation, IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, IEICE, vol. 105, no. 1, pp. 11-24, Jan. 2022.
• Yang Chen, Masao Yamagishi, Isao Yamada. A Linearly Involved Generalized Moreau Enhancement of ℓ2,1-Norm with Application to Weighted Group Sparse Classification, Algorithms, MDPI, vol. 14, no. 11, 312, Oct. 2021.
• Riku Akema, Masao Yamagishi, Isao Yamada. Approximate Simultaneous Diagonalization of Matrices via Structured Low-Rank Approximation, the IEICE Transactions on Fundamentals, vol. E104-A, no. 4, Apr. 2021.
• Kengo Uchida, Isao Yamada. An l_1-Penalized Adaptive Normalized Quasi-Newton Algorithm for Sparsity-Aware Generalized Eigen-Subspace Tracking, Journal of the Franklin Institute, vol. 357, Issue 8, pp. 5033-5057, Apr. 2020.
• Jiro Abe, Masao Yamagishi, Isao Yamada. Linearly Involved Generalized Moreau Enhanced Models and Their Proximal Splitting Algorithm under Overall Convexity Condition, Inverse Problems, IOP, pp. 36, Feb. 2020.
• Isao Yamada, Masao Yamagishi. Hierarchical convex optimization by the hybrid steepest descent method with Proximal Splitting - Enhancements of SVM and Lasso, Splitting Algorithms, Modern Operator Theory and Applications, H. H. Bauschke, R. Burachik and D. R. Luke eds., Springer, pp.413-489, Dec. 2019.
• Takehiko Mizoguchi, Isao Yamada. Hypercomplex tensor completion via convex optimization, IEEE Trans. Signal Process, vol. 67, no. 15, pp. 4078-4092, Aug. 2019.
• Hiroki Kuroda, Masao Yamagishi, Isao Yamada. Exploiting Sparsity in Tight-Dimensional Spaces for Piecewise Continuous Signal Recovery, IEEE Transactions on Signal Processing, IEEE, vol. 66, no. 24, pp. 6363-6376, Dec. 2018.
• Isao Yamada. Do Androids Dream of Henri Poincare with Hierarchical Optimization?, APSIPA 10th Anniversary Magazine, APSIPA, pp. 121-122, Nov. 2018.
• Konstantinos Slavakis, Isao Yamada. Fejér-monotone hybrid steepest descent method for affinely constrained and composite convex minimization tasks, Optimization, vol. 67, no. 11, pp. 1963-2001, Nov. 2018.
• Kenji Kakimoto, Masao Yamagishi, Isao YAmada. Smoothing of adaptive eigenvector extraction in nested orthogonal complement structure with minimum disturbance principle, Multidimensional Systems and Signal Processing, Springer, vol. 29, no. 1, pp. 433-465, Jan. 2018.
• Masao Yamagishi, Isao Yamada. Nonexpansiveness of linearlized augmented Lagrangian operator for hierarchical convex optimization, Inverse Problems, IOP, vol. 33, no. 4, 044003 (35pp), Apr. 2017.
• Hiroki Kuroda, Masao Yamagishi, Isao Yamada. Nonlinear Acoustic Echo Cancellation by Exact-Online Adaptive Alternating Minimization, IEICE Trans. Fundamentals, vol. E99-A, no. 11, to appear, Nov. 2016.
• Shunsuke Ono, Isao Yamada. Color-line regularization for color artifact removal, IEEE Transactions on Computational Imaging, vol. 2, no. 3, pp. 204-217, Sept. 2016.
• Tomasz Piotrowski, Isao Yamada. Reduced-Rank Estimation for Ill-Conditioned Stochastic Linear Model with High Signal-to-Noise Ratio, Journal of the Franklin Institute, Elsevier, vol. 353, no. 13, pp. 2898-2928, Sept. 2016.
• Daichi Kitahara, Isao Yamada. Algebraic phase unwrapping based on two-dimensional spline smoothing over triangles, IEEE Transactions on Signal Processing, IEEE, vol. 64, no. 8, pp. 2103-2118, Apr. 2016.
• Shunsuke Ono, Isao Yamada. Signal Recovery With Certain Involved Convex Data-Fidelity Constraints, IEEE Transactions on Signal Processing, vol. 63, no. 22, pp. 6149-6163, Nov. 2015.
• Patrick L. Combettes, Isao Yamada. Compositions and Convex Combinations of Averaged Nonexpansive Operators, Journal of Mathematical Analysis and Applications, Elsevier, vol. 425, pp. 55-70, May 2015.
• Shunsuke Ono, Isao Yamada. Hierarchical Convex Optimization with Primal-Dual Splitting, IEEE Transactions on Signal Processing, vol. 63, no. 2, pp. 373-388, Jan. 2015.
• Tomasz Piotrowski, Isao Yamada. Performance of the stochastic MV-PURE estimator in highly noisy settings, Journal of the Franklin Institute, Elsevier, vol. 351, no. 6, pp. 3339-3350, June 2014.
• Shunsuke Ono, Takamichi Miyata, Isao Yamada. Cartoon-Texture Image Decomposition Using Blockwise Low-Rank Texture Characterization, IEEE Transactions on Image Processing, vol. 23, no. 3, pp. 1128-1142, Mar. 2014.
• Takehiko Mizoguchi, Isao Yamada. An Algebraic Translation of Cayley-Dickson Linear Systems and Its Applications to Online Learning, IEEE Transactions on Signal Processing, vol. 62, no. 6, pp. 1438-1453, Mar. 2014.
• Wee, W.M., ISAO YAMADA. Tracking analysis of adaptive filters with error and matrix data nonlinearities, IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E97-A, No. 8, pp. 1659-1673, 2014.
• Wemer M. Wee, Isao Yamada. Tracking Analysis of Adaptive Filters with Data Normalization and Error Nonlinearities, IEICE Transactions on Fundamentals of Electronics,Communications and Computer Sciences, vol. E96-A, no. 11, pp. 2198-2208, Nov. 2013.
• Hiroki Kuroda, Shunsuke Ono, Masao Yamagishi, Isao Yamada. Exploiting Group Sparsity in Nonlinear Acoustic Echo Cancellation by Adaptive Proximal Forward-Backward Splitting, IEICE Transactions on Fundamentals, vol. E96-A, no. 10, pp. 1918-1927, Oct. 2013.
• Symeon Chauvardas, Konstantinos Slavakis, Sergios Theodoridis, Isao Yamada. Stochastic Analysis of Hyperslab-Based Adaptive Projected Subgradient Method Under Bounded Noise, IEEE Signal Processing Letters, IEEE, vol. 20, no. 7, pp. 729-732, July 2013.
• Tuan Duong Nguyen, Isao Yamada. Necessary and Sufficient Conditions for Convergence of The DDT Systems of The Normalized PAST Algorithms, Signal Processing, Elsevier, vol. 94, pp. 288-299, July 2013.
• Daichi Kitahara, Isao Yamada. Algebraic phase unwrapping along the real axis - Extensions and Stabilizations, Multidimensional systems and signal processing, (published online), Apr. 2013.
• Tuan Duong Nguyen, Noriyuki Takahashi, Isao Yamada. An Adaptive Extraction of Generalized Eigensubspace by Using Exact Nested Orthogonal Complement Structure, Multidimensional Systems and Signal Processing, vol. 23, no. 3, pp. 457-483 (accepted for publication : Dec 8, 2011), Mar. 2013.
• Tuan Duong Nguyen, Isao Yamada. Adaptive Normalized Quasi-Newton Algorithms for Extraction of Generalized Eigen-pairs and Their Convergence Analysis, IEEE Transactions on Signal Processing, pp. 1404-1418, Mar. 2013.
• Konstantinos Slavakis, Isao Yamada. The Adaptive Projected Subgradient Method Constrained by Families of Quasi-nonexpansive Mappings and Its Application to Online Learning, SIAM Journal on Optimization, vol. 23, no. 1, pp. 123-152, Feb. 2013.
• Tuan Duong Nguyen, Isao Yamada. A Unified Convergence Analysis of Normalized PAST Algorithms for Estimating Principal and Minor Components, Signal Processing, vol. 93, no. 1, pp. 176-184, Jan. 2013.
• R. L. G. Cavalcante, S. Stanczak, I. Yamada. Cooperative Cognitive Radios with Diffusion Networks, In: Mechanisms and Games for Dynamic Spectrum Allocation (Tansu Alpcan, Holger Boche, Michael Honig, H. Vincent Poor, Eds.), Cambridge University Press, 2013.
• Shunsuke Ono, Takamichi Miyata, Isao Yamada, Katsunori Yamaoka. Image Recovery by Decomposition with Component-wise Regularization, IEICE Transactions on Fundamentals, vol. 95-A, no. 12, pp. 2470-2478, Dec. 2012.
• Hideaki Iiduka, Isao Yamada. Computational Method for Solving a Stochastic Linear-Quadratic Control Problem given an Unsolvable Stochastic Algebraic Riccati Equation, SIAM Journal on Control and Optimization, vol. 50, no. 4, pp. 2173-2192, Aug. 2012.
• Masao Yamagishi, Isao Yamada. Overrelaxation of the fast iterative shrinkage-thresholding algorithm with variable stepsize, Inverse Problems, IOP Science, vol. 27, 15pp, Oct. 2011.
• Renato Cavalcante, Alex Rogers, Nick Jennings, Isao Yamada. Distributed Asymptotic Minimization of Sequences of Convex Functions by a Broadcast Adaptive Subgradient Method, IEEE Journal of Selected Topics in Signal Processing, vol. 5, Aug. 2011.
• 山田 功. 信号処理・最適化・逆問題 --- 学際的自由研究のたのしみ, Fundamantals Review, vol. 5, no. 1, pp. 68-79, July 2011.
• Isao Yamada, Kazuhiro Oguchi. High-Resolution Estimation of the Directions-of-Arrival Distribution by Algebraic Phase Unwrapping Algorithms, Multidimensional Systems and Signal Processing, Springer, vol. 22, no. 1-3, pp. 191-211, Mar. 2011.
• Masahiro Yukawa, Isao Yamada. Set-theoretic adaptive filtering based on data-driven sparsification, International Journal of Adaptive Control and Signal Processing, John Wiley & Sons, vol. 25, pp. 707-722, Mar. 2011.
• Sergios Theodoridis, Konstantinos Slavakis, Isao Yamada. Adaptive Learning in A World of Projections: A Unifying Framework for Linear and Nonlinear Classification and Regression Tasks, IEEE Signal Processing Magazine, vol. 28, no. 1, pp. 97-123, Jan. 2011.
• Silvia Gandy, Ben Recht, Isao Yamada. Tensor completion and low-n-rank tensor recovery via convex optimization, Inverse Problems, IOP Science, vol. 27, 19pp, 2011.
• Silvia Gandy, Isao Yamada. Convex Optimization Techniques for the Efficient Recovery of a Sparsely Corrupted Low-rank Matrix, Journal of Math-for-Industry, volume JMI2010B, pp. 147-156, Oct. 2010.  公式リンク  
  
• Noriyuki Takahashi, Isao Yamada, Ali Sayed. Diffusion Least-Mean Squares With Adaptive Combiners: Formulation and Performance Analysis, IEEE Transactions on Signal Processing, vol. 58, no. 9, pp. 4795 - 4810, Sept. 2010.
• Masahiro Yukawa, Konstantinos Slavakis, Isao Yamada. Multi-domain Adaptive Learning Based on Feasibility Splitting and Adaptive Projected Subgradient Method, IEICE Transactions on Fundamentals, vol. E93-A, no. 2, pp. 456-466, Feb. 2010.
• Masahiro Yukawa, Isao.Yamada. A Unified View of Adaptive Variable-metric Projection Algorithms, EURASIP Journal on Advances in Signal Processing, vol. 2009, Article ID 589260, pp. 1-13, Feb. 2010.
• Hideaki IIDUKA, Isao YAMADA. A use of conjugate gradient direction for the convex optimization problem over the fixed point set of a nonexpansive mapping, SIAM Journal on Optimization, vol. 19, no. 4, pp. 1881-1893, Dec. 2009.
• Konstantinos SLAVAKIS, Sergios THEODORIDIS, Isao YAMADA. Adaptive Constrained Filtering in Reproducing Kernel Hilbert Spaces: the Beamforming Case, IEEE Transactions on Signal Processing, vol. 57, no. 12, pp. 4744-4764, Dec. 2009.
• Masahiro Yukawa, R.de Lamare Isao.Yamada, ISAO YAMADA. Robust Reduced-Rank Adaptive Algorithm Based on Parallel Subgradient Projection and Krylov Subspace, IEEE Transactions on Signal Processing, vol. 57, no. 12, pp. 4660-4674, Dec. 2009.
• 山田功. 最適化と信号処理（後編）～低階数最小分散擬似不偏推定法～(招待解説論文), 映像情報メディア学会誌, vol. 63, no. 9, pp. 1207-1212, Sept. 2009.
• Noriyuki Takahashi, Isao Yamada. Steady-state mean-square performance analysis of a relaxed set-membership NLMS algorithm by the energy conservation argument, IEEE Transactions on Signal Processing, vol. 57, no. 9, pp. 3361-3372, Sept. 2009.
• 山田功. 最適化と信号処理（前編）～射影勾配法の二つの一般化～(招待解説論文), 映像情報メディア学会誌, vol. 63, no. 8, pp. 1088-1093, Aug. 2009.
• Renato Cavalcante, ISAO YAMADA, Bernard Mulgrew. An Adaptive Projected Subgradient Approach to Learning in Diffusion Networks, IEEE Transactions on Signal Processing, vol. 57, no. 7, pp. 2762–2774, July 2009.
• Renato CAVALCANTE, Isao YAMADA. A flexible peak-to-average power ratio reduction scheme for OFDM systems by the adaptive projected subgradient method, IEEE Transactions on Signal Processing, vol. 57, no. 4, pp. 1456-1468, Apr. 2009.
• Tomasz Piotrowski, Renato Cavalcante, ISAO YAMADA. Stochastic MV-PURE Estimator---Robust Reduced-Rank Estimator for Stochastic Linear Model, IEEE Transactions on Signal Processing, vol. 57, no. 4, pp. 1293-1303, Apr. 2009.
• Hideaki IIDUKA, Isao YAMADA. An ergodic algorithm for the power-control games for CDMA data networks, Journal of Mathematical Modelling and Algorithms, vol. 8, no. 1, pp. 1-18, Jan. 2009.
• Masao YAMAGISHI, Isao YAMADA. A Deep Monotone Approximation Operator Based on the Best Quadratic Lower Bound of Convex Functions, IEICE Transactions on Fundamentals, Vol. E91-A, No. 8, pp. 1858-1866, Aug. 2008.
• Noriyuki Takahashi, Isao Yamada. Parallel Algorithms for Variational Inequalities over The Cartesian Product of The Intersections of The Fixed Point Sets of Nonexpansive Mappings, Journal of Approximation Theory, Vol. 153, No. 2, pp. 139-160, Aug. 2008.
• Masaki MISONO, Isao YAMADA. An Efficient Adaptive Minor Subspace Extraction Using Exact Nested Orthogonal Complement Structure, IEICE Transactions on Fundamentals, Vol. E91-A, No. 8, pp. 1867-1874, Aug. 2008.
• Tomasz PIOTROWSKI, Isao YAMADA. MV-PURE Estimator --- Minimum-Variance Pseudo-Unbiased Reduced-Rank Estimator (MV-PURE) for Linearly Constrained Ill-Conditioned Inverse Problems, IEEE Transactions on Signal Processing, vol. 56, pp. 3408-3423, Aug. 2008.
• Konstantinos SLAVAKIS, Sergios THEODORIDIS, ISAO YAMADA. Online Kernel-Based Classification Using Adaptive Projection Algorithms, IEEE Transactions on Signal Processing, Vol. 56, No. 7, pp. 2781-2796, July 2008.  公式リンク  
  
• Renato Cavalcante, Isao Yamada. Multiaccess Interference Suppression in Orthogonal Space-Time Block Coded MIMO Systems by Adaptive Projected Subgradient Method, IEEE Transactions on Signal Processing, vol. 56, no. 3, pp. 1028–1042, Mar. 2008.
• Hiroshi Hasegawa, Ohtsuka Toshinori, ISAO YAMADA, KOHICHI SAKANIWA. An Edge-Preserving Super-Precision for Simultaneous Enhancement of Spacial and Grayscale Resolutions, IEICE Transactions on Fundamentals, Vol. E91-A, No. 2, pp. 673-681, Feb. 2008.  公式リンク  
  
• Konstantinos Slavakis, Isao Yamada. Robust wideband beamforming by the hybrid steepest descent method, IEEE Transactions on Signal Processing, vol. 55, no. 9, pp. 4511-4522, Sept. 2007.
• Masahiro YUKAWA, Konstantinos SLAVAKIS, Isao YAMADA. Adaptive parallel quadratic-metric projection algorithms, IEEE Transactions on Audio, Speech and Language Processing, Vol. 15, No. 5, pp. 1665-1680, July 2007.
• Konstantinos SLAVAKIS, Isao YAMADA, Nobuhiko OGURA. The Adaptive Projected Subgradient Method over the Fixed Point Set of Strongly Attracting Nonexpansive Mappings, Numerical Functional Analysis and Optimization, Vol. 27, No. 7 & 8, pp. 905-930, Dec. 2006.
• Masahiro YUKAWA, Isao YAMADA. Pairwise Optimal Weight Realization : Acceleration Technique for Set-theoretic Adaptive Parallel Subgradient Projection Algorithm, IEEE Transactions on Signal Processing, Vol. 54, No. 12, pp. 4557-4571, Dec. 2006.
• Noriyuki TAKAHASHI, Masahiro YUKAWA, Isao YAMADA. An efficient power control for infeasible downlink scenarios --- Global-local fixed-point-approximation technique, IEICE Transactions on Fundamentals,, Vol. E89-A, No. 8, pp. 2107-2118, Aug. 2006.
• Hong-Kun XU, Isao YAMADA. Asymptotic regularity of linear power bounded operators, Taiwanese Journal of Mathematics, Vol. 10, No. 2, pp. 417-429, Feb. 2006.
• Masahiro YUKAWA, Noriaki MURAKOSHI, Isao YAMADA. Efficient Fast Stereo Acoustic Echo Cancellation Based on Pairwise Optimal Weight Realization Technique, EURASIP Journal on Applied Signal Processing, Vol. 2006, pp. Article ID 84797, 15 pages, 2006.
• Masahiro YUKAWA, Isao YAMADA. An efficient speed-up weighting technique for adaptive parallel projection algorithm, Proceedings of 2004 IEICE General Conference (in CD-ROM), 2004.
• Renato L. G. CAVALCANTE, Isao YAMADA, Kohichi SAKANIWA. A fast blind multiple access interference reduction in DS/CDMA systems based on adaptive projected subgradient method, IEICE Transactions Fundamentals, Vol. E87-A, No. 8, pp. 1973-1980, 2004.
• Masahiro YUKAWA, Isao YAMADA . Efficient adaptive stereo echo canceling schemes based on simultaneous use of multiple state data, IEICE Transactions Fundamentals, Vol. E87-A, No. 8, pp. 1949-1957, 2004.
• Hiroshi HASEGAWA, Isao YAMADA, Kohichi SAKANIWA . Discrete time-frequency projection filtering based on an alias-free discrete time-frequency analysis, IEICE Trans. Fundamentals, Vol. E87-A, No. 6, pp. 1537-1545, 2004.
• Nobuhiko OGURA, Isao YAMADA. Convex feasibility problem with prioritized hard Constraints--double layered projected gradient method, IEICE Transactions Fundamentals, Vol. E87-A, No. 4, pp. 872-878, 2004.
• Konstantinos SLAVAKIS, Isao YAMADA, Nobuhiko OGURA. Adaptive Projected Subgradient Method and Set Theoretic Adaptive Filtering with Multiple Convex Constraints, The 38th Asilomar Conference on Signals, Systems and Computers, California, Nov. 2004. , 2004.
• Hiroshi HASEGAWA, Toshiyuki ONO, Isao YAMADA, Kohichi SAKANIWA. An iterative MPEG super-resolution with an outer approximation of frame-wise quantization constraint, Proceedngs of 2004 IEEE International Workshop on Multimedia Signal Processing (MMSP-2004, Siena, Sept.) (in CD-ROM), 2004.
• Renato CAVALCANTE, Isao YAMADA, Kohichi SAKANIWA. A fast blind multiple access interference reduction in DS/CDMA systems by adaptive projected subgradient method, Proceedings of 12th European Signal Processing Conference (EUSIPCO-2004, Vienna, Sept.) (in CD-ROM), 2004.
• Masahiro YUKAWA, Isao YAMADA. Acceleration of adaptive parallel projection algorithms by pairwise optimal weight realization, Proceedings of 12th European Signal Processing Conference (EUSIPCO-2004, Vienna, Sept.) (in CD-ROM), 2004.
• Isao YAMADA, Nobuhiko OGURA, Masahiro YUKAWA. Adaptive projected subgradient method and its acceleration techniques (INVITED), IFAC Workshop on Adaptation and Learning in Control and Signal Processing (ALCOSP 2004, Yokohama, Aug.), (in CD-ROM), 2004.
• Isao YAMADA. Hybrid steepest descent method for the variational inequality problem over the fixed point sets of certain quasi-nonexpansive mappings (INVITED), Victoria International Conference 2004, Feb. Wellington (International meeting in cooperation with the Israel Mathematical Union, the New Zealand Mathematical Society and the New Zealand Institute of Mathematics and its Applications), 2004.
• Isao YAMADA, Kazuhiro OGUCHI. Algebraic unitary root counting for finding minima of generalized power spectrum, Proceedings of 19th IEICE Signal Processing Symposium (in CD-ROM), 2004.
• Masahiro YUKAWA, Isao YAMADA. Acceleration technique for adaptive parallel subgradient projection algorithm and its properties, Proceedings of 19th IEICE Signal Processing Symposium (in CD-ROM), 2004.
• Masahiro YUKAWA, Renato L. G. CAVALCANTE, Isao YAMADA. Efficient blind DS/CDMA revceivers by embedded constraint adaptive parallel projection techniques, Proceedings of 19th IEICE Signal Processing Symposium (in CD-ROM), 2004.
• Jamal ELBADRAOUI, Isao YAMADA. Minimizing quadratic functions over reduced rank matrices, Proceedings of 19th IEICE Signal Processing Symposium (in CD-ROM), 2004.
• Heming SUN, Hiroshi HASEGAWA, Isao YAMADA. A multidimensional associative memory neural network to recall nearest pattern from input, Proceedings of 19th IEICE Signal Processing Symposium (in CD-ROM), 2004.
• Takuya OKADA, Hiroshi HASEGAWA, Isao YAMADA, Kohichi SAKANIWA. An edge-preserving inverse halftoning by successive outer approximation techniques, Proceedings of 19th IEICE Signal Processing Symposium (in CD-ROM), 2004.
• Ryota SASAHARA, Hiroshi HASEGAWA, Isao YAMADA, Kohichi SAKANIWA. Resolution enhancement of color images subject to bounded total variations, Proceedings of 19th IEICE Signal Processing Symposium (in CD-ROM) , 2004.
• Toshiyuki ONO, Hiroshi HASEGAWA, Isao YAMADA, Kohichi SAKANIWA. An adaptive super-resolution for noisy and blurred image sequences, Proceedings of 19th IEICE Signal Processing Symposium (in CD-ROM)., 2004.
• Noriaki MURAKOSHI, Masahiro YUKAWA, Isao YAMADA. An efficient fast stereophonic acoustic echo canceler by pairwise optimal weight realization technique, Proceedings of 19th IEICE Signal Processing Symposium (in CD-ROM), 2004.
• Nobuhiko OGURA, Isao YAMADA. An Optimal Outer Approximation for the Adaptive Parallel Outer Projection Algorithm, Proceedings of 2004 IEICE General Conference (in CD-ROM), 2004.
• Hiroshi HASEGAWA, Toshiyuki ONO, Isao YAMADA, Kohichi SAKANIWA. A successive least-squares super-resolution of MPEG video sequences, Proceedings of 2004 IEICE General Conference (in CD-ROM), 2004.
• Toshiyuki ONO, Hiroshi HASEGAWA, Isao YAMADA, Kohichi SAKANIWA. A super-resolution of movies based on adaptive parallel subgradient projection technique, Proceedings of 2004 IEICE General Conference (in CD-ROM), 2004.
• Isao YAMADA, Nobuhiko OGURA. Adaptive projected subgradient method and its applications to set theoretic adaptive filtering, Proceedings of the 37th Asilomar Conference on Signals, Systems and Computers, (California, November, 2003), 2004.
• 山田 功. ハイブリッド最急降下法と階層型最適化問題, 産業総合研究所: 脳神経情報研究部門(筑波, 5月23日, 2003), 2003.
• 山田 功. 適応射影劣勾配法 --- 適応信号処理アルゴリズムの新しい視点 (招待講演), 電子情報通信学会技術研究報告[ディジタル信号処理研究会/電気音響研究会](姫路, 5月16日, 2003), Vol. DSP2003, No. 25, pp. 31--38, 2003.
• Nobuhiko OGURA, Isao YAMADA. Adaptive parallel outer projection algorithm based on supporting hyperplane approximation, Technical Report of IEICE DSP2003, Vol. DSP2003, No. 22, pp. 13--18, 2003.
• Masahiro YUKAWA, Isao YAMADA. Efficient fast adaptive filtering schemes based on simultaneous use of multiple state data, Proceedings of 18th Digital Signal Processing Symposium (Ise-Shima, November), 2003.
• Jamal ELBADRAOUI, Isao YAMADA. A parametrization of solution to generalized Eckart-Young problem, Proceedings of 18th Digital Signal Processing Symposium (Ise-Shima, November), 2003.
• Renato CAVALCANTE, Isao YAMADA, Kohichi SAKANIWA. A blind multiple access interfererence reduction in DS/CDMA systems based on adaptive projected subgradient method, Proceedings of 18th Digital Signal Processing Symposium (Ise-Shima, November), 2003.
• Hiroshi HASEGAWA, Toshiyuki ONO, Isao YAMADA, Kohichi SAKANIWA. A reconstruction of high-resolution images from MPEG compressed video sequences, Proceedings of 18th Digital Signal Processing Symposium (Ise-Shima, November), 2003.
• Isao YAMADA, Nobuhiko OGURA. Hybrid steepest descent method over the fixed point set of certain quasi-nonexpansive mapping, Proceedings of 18th Digital Signal Processing Symposium (Ise-Shima, November), 2003.
• Konstantinos SLAVAKIS, Isao YAMADA, Kohichi SAKANIWA. Computation of symmetric positive definite Toeplitz matrices by the hybrid steepest descent method, Signal Processing, Vol. 83, No. 5, 1135 - 1140, 2003.
• 山田 功. 射影型適応アルゴリズムの新展開 --- 射影劣こう配法による統一的視点とその応用, 電子情報通信学会誌, Vol. 86, No. 8, pp. 654--658, 2003.
• Masahiro YUKAWA, Isao YAMADA. Adaptive parallel subgradient projection techniques and input sliding technique for stereophonic accoustic echo cancellation, Proceedings of the 8th International Workshop on Accoustic Echo and Noise Control, pp. 55-58, 2003.
• Isao YAMADA, Takato EZAKI. An orthogonal matrix optimization by Dual Cayley Parametrization Technique, Proceedings of 4th International Symposium on Independent Component Analysis and Blind Signal Separation --- ICA2003 (Nara, April), 2003.
• Isao YAMADA, Nobuhiko OGURA. Adaptive Projected Subgradient Method and Its Applications to Signal Processing Problems (Plenary Talk by Isao Yamada), The 3rd International Conference on Nonlinear Analysis and Convex Analysis, 2003.
• Hiroshi HASEGAWA, Masashi NAKAGAWA, Isao YAMADA, Kohichi SAKANIWA. A truncated polynomial interpolation and its application to polynomially WLS design of IIR filters, IEICE Trans. on Fundamentals, Vol. E86-A, No. 7, pp. 1742--1748, 2003.
• Isao YAMADA, Jamal ELBADRAUI. Locally reduced-rank optimal filtering and its approximation by successive alternating minmization, Proceedings of IEEE ICASSP2003 (Hong Kong, April), 2003.
• Isao YAMADA, Takuya OKADA, Kohichi SAKANIWA. A note on robust adaptive Volterra filtering based on parallel Subgradient projection techniques, IEICE Transactions Fundamentals, Vol. E86-A, No. 8, pp. 2065-2068, 2003.
• 山田 功. 逆問題の強い味方～ハイブリッド最急降下法～, 電子情報通信学会東京支部 地域イベント (茨城大, 10月27日, 2003), 2003.
• Yasuhiro MIKI, Hiroshi HASEGAWA, Isao YAMADA, Kohichi SAKANIWA. An estimation of multicomponent polynomial phase signals, Proceedings of 17th Digital Signal Processing Symposium (Hakodate, November), 2002.
• Takuya OKADA, Isao YAMADA, Kohichi SAKANIWA. An efficient robust adaptive Volterra filtering based on parallel subgradient projection techniques, Proceedings of 17th Digital Signal Processing Symposium(Hakodate, November), 2002.
• Hiroshi HASEGAWA, Isao YAMADA, Kohichi SAKANIWA. Time-frequency projection filtering based on alias-free discrete time-frequency analysis, Proceedings of the 25th Symposium on Information Theory and Its Applications, pp. 71-74, 2002.
• Masahiro YUKAWA, Isao YAMADA . Robust 2-stage adaptive parallel subgradient projection techniques for multi-channel acoustic echo cancellation, Proceedings of the 25th Symposium on Information Theory and Its Applications, pp. 271-274, 2002.
• Isao YAMADA, Jamal ELBADRAOUI. Approximation of locally reduced-rank optimal filtering, Proceedings of the 25th Symposium on Information Theory and Its Applications, pp. 171-174, 2002.
• Masahiro YUKAWA, Isao YAMADA. An efficient robust adaptive multi-channel acoustic echo canceler based on 2-stage parallel subgradient projection techniques, Proceedings of 17th Digital Signal Processing Symposium (Hakodate, November), 2002.
• Takato EZAKI, Isao YAMADA. A matrix optimization technique over Stiefel manifold based on alternating Cayley parametrization, Proceedings of 17th Digital Signal Processing Symposium (Hakodate, November), 2002.
• Isao YAMADA. A multi-stage convex optimization technique for convexly constrained inverse problems, Proceedings of 17th Digital Signal Processing Symposium (Hakodate, November), 2002.
• Isao YAMADA. Hybrid steepest descent method -Fixed point theory meets signal processing (Keynote speech), Proceedings of IEEE APCCAS2002 (Singapore, December), 2002.
• Koji AKITA, Isao YAMADA, Kohichi SAKANIWA. An optimization of the relaxed signal adapted wavelet by semidefinite programming techniques, Proceedings of ICSP2002 (Beijing, August), 2002.
• Isao YAMADA, Masahiro YUKAWA. An efficient robust stereophonic acoustic echo canceler based on parallel subgradient projection techniques, Proceedings of ICSP2002(Beijing, August), 2002.
• Hiroshi HASEGAWA, Masashi NAKAGAWA, Isao YAMADA, Kohichi SAKANIWA. A truncated polynomial interpolation theorem and its application to the WLS design of IIR filters, Proceedings of IEEE ISCAS2002 (Arizona, May), 2002.
• Hiroshi HASEGAWA, Yasuhiro MIKI, Isao YAMADA, Kohichi SAKANIWA. A higher order generalization of an alias-free discrete time-frequency analysis, IEICE Trans. on Fundamentals, Vol. E79-A, No. 8, pp. 1774-1780, 2002.
• Nobuhiko OGURA, Isao YAMADA. A Non-strictly Convex Minimization over the Fixed Point Set of the Asymptotically Shrinking Nonexpansive Mapping, Numerical Functional Analysis and Optimization, Vol. 23, No. 1&2, pp. 113-137, 2002.
• Isao YAMADA, N.K.BOSE. Algebraic Phase Unwrapping and Zero Distribution of Polynomial for Continuous-Time Systems, IEEE Trans. Circuits and Systems I: Fundamental Theory and Applications, Vol. 49, No. 3, pp. 298-304, 2002.
• Takato EZAKI, Isao YAMADA. Ideal descent direction technique over the Stiefel manifold ---Resolution of nonconvex constraints by Dual Cayley parametrization, Proceedings of the 25th Symposium on Information Theory and Its Applications, pp. 167-170, 2002.
• Takuya OKADA, Isao YAMADA, Kohichi SAKANIWA. An adaptive Volterra filtering based on parallel subgradient projection techniques, Proceedings of the 25th Symposium on Information Theory and Its Applications, pp. 391-394, 2002.
• Yasuhiro MIKI, Hiroshi HASEGAWA, Isao YAMADA, Kohichi SAKANIWA . Analysis of multicomponent polynomial phase signals using unwrapped phase and geometry on triangle, Proceedings of the 25th Symposium on Information Theory and Its Applications, pp. 75-78, 2002.
• Isao YAMADA, Konstantinos SLAVAKIS, Kenyu YAMADA. An Efficient Robust Adaptive Filtering Algorithm Based on Parallel Subgradient Projection Techniques, IEEE Trans. Signal Processing,, Vol. 50, No. 5, pp. 1091-1101, 2002.
• Koji AKITA, Isao YAMADA, Kohichi SAKANIWA. An optimal wavelet design by the hybrid steepest descent method, Proceedings of 16th Digital Signal Processing Symposium, 2001.
• Konstantinos SLAVAKIS, Isao YAMADA, Kohichi SAKANIWA. Spectrum estimation as a problem of finding symmetric positive definite Toeplitz Matrices by the Hybrid Steepest Descent Method, Proceedings of 16th Digital Signal Processing Symposium, 2001.
• Nobuyasu SHIRAKAWA, Nobuhiko OGURA, Isao YAMADA. A Numerically robust hybrid steepest descent method, Proceedings of 24th Symposium on Information Theory and Its Applications (SITA2001), 2001.
• Nobuhiko OGURA, Isao YAMADA. Inconsistent Convex Feasibility Problem with Multiple and Prioritized Hard Constraints, Proceedings of 24th Symposium on Information Theory and Its Applications (SITA2001), 2001.
• Hiroshi HASEGAWA, Masashi NAKAGAWA, Isao YAMADA, Kohichi SAKANIWA. A truncated polynomial interpolation theorem and its application to the WLS design of IIR filters, Proceedings of 24th Symposium on Information Theory and Its Applications (SITA2001), 2001.
• Hiroshi HASEGAWA, Yasuhiro MIKI, Isao YAMADA, Kohichi SAKANIWA. A higher order generalization of an alias-free discrete time-frequency analysis, Proceedings of 24th Symposium on Information Theory and Its Applications (SITA2001), 2001.
• Konstantinos SLAVAKIS, Isao YAMADA, Kohichi SAKANIWA. Spectrum estimation as a problem of finding symmetric positive definite block toeplitz matrices by the Hybrid Steepest Descent Method, Proceedings of 24th Symposium on Information Theory and Its Applications (SITA2001), 2001.
• Koji AKITA, Isao YAMADA, Kohichi SAKANIWA. An optimal design of signal adapted orthonormal wavelet by the hybrid steepest descent method, Proceedings of 24th Symposium on Information Theory and Its Applications (SITA2001), 2001.
• 山田 功. 凸射影アルゴリズムとハイブリッド最急降下法の新展開(招待講演), 電子情報通信学会基礎境界ソサイエティ大会講演論文集, pp. 265-266, 2001.
• Konstantinos SLAVAKIS, Isao YAMADA. Biorthogonal Unconditional Bases of Compactly Supported Matrix Valued Wavelet, Numerical Functional Analysis and Optimization, Vol. 22, No. 1-2, pp. 223-253, 2001.
• Hiroshi HASEGAWA, Masashi NAKAGAWA, Isao YAMADA, Kohichi SAKANIWA. A generalization of the Walsh's theorem for weighted least-squares rational approximation, Proceedings of the 16th Digital Signal Processing Symposium, 2001.
• Nobuyasu SHIRAKAWA, Nobuhiko OGURA, Isao YAMADA. On the Numerical Robustness of the Hybrid Steepest Descent Method, Proceedings of 16th Digital Signal Processing Symposium, 2001.
• Konstantinos SLAVAKIS, Isao YAMADA. Compactly Supported Matrix Valued Wavelets---Biorthogonal Unconditional Bases (invited), Proceedings of IEEE ISCAS2001, pp. CD-ROM, 2001.
• Nobuhiko OGURA, Isao YAMADA. An Algorithm for Projection onto Certain Polyhedron and Its Application to Inversion of Imaging Spectrometry Data, Proceedings of 16th Digital Signal Processing Symposium, 2001.
• Isao YAMADA, Nobuhiko OGURA. The Hybrid Steepest Descent Method and Its Applications to Constrained Inverse Problems (invited), The 10th International Colloquium on Numerical Analysis and Computer Sciences with Applications, Plovdiv Bulgaria,, 2001.
• Isao YAMADA. Signal estimation by non-strictly convex minimization over the fixed point set of nonexpansive mapping (invited), Seminaire Methodes Mathematiques du Traitement d'Images C.N.R.S & UNIVERSITE PARIS 6 (PIERRE ET MARIE CURIE) Laboratoire d'Analyse Numerique,, 2001.
• Isao YAMADA. Hybrid Steepest Descend Method and its Application to Connvexly Constrained Inverse Problems (invited), The 106th annual meeting of the American Mathematical Society, New Orleans, pp. 149, 2001.
• Nobuhiko OGURA, Isao YAMADA. The multi-layered hard-constrained convex feasibility problem, 2nd International Conference on Nonlinear Analysis and Convex Analysis, 2001.
• Isao YAMADA, Konstantinos SLAVAKIS, Kenyu YAMADA. An Efficient Robust Adaptive Filtering Scheme Based on Pallel Subgradient Projection Techniques, Proceedings of IEEE ICASSP2001, pp. CD-ROM, 2001.
• Hiroshi HASEGAWA, Isao YAMADA, Kohichi SAKANIWA. Kernel synthesis for generalized time-frequency distributions based on Hybrid steepest descent method, Proc. of 15th Digital Signal Processing Symposium, pp. 103-108, 2000.
• Nobuhiko OGURA, Isao YAMADA. Hybrid steepest descent method for asymptotically shrinking mapping, Proceedings of the 23rd symposium on Information Theory and Its Applications (SITA2000), Vol. SITA2000, 2000.
• Hiroshi HASEGAWA, Isao YAMADA, Kohichi SAKANIWA. Kernel design of generalized class of discrete-time discrete-frequency distribution based on Hybrid steepest descent method, Technical Report of IEICE, Vol. DSP2000, pp. 75-80, 2000.
• Nobuhiko OGURA, Isao YAMADA. A relaxation of the hybrid steepest descent method for wider class of inverse problems, Technical Report of IEICE, Vol. DSP2000, pp. 9-12, 2000.
• Isao YAMADA, Nirmal K. BOSE. Algebraic Phase Unwrapping and Zero Distribution of Complex Polynomial for Continuous-Time Systems, Technical Report of IEICE, Vol. DSP2000, pp. 33-39, 2000.
• Isao YAMADA, Tomohiro SEKIGUCHI, Kohichi SAKANIWA. Reduced Rank Volterra Filter for Robust Identification of Nonlinear Systems, Proceedings of the 2nd International Workshop on Multidimensional (ND) Systems -NDS2000, pp. 171-176, 2000.
• Isao YAMADA, Nirmal K. BOSE. Algebraic Phase Unwrapping and Zero Distribution of Polynomial for Continuous-Time Systems, Proceedings of the 2nd International Workshop on Multidimensional (ND) Systems - NDS2000, pp. 177-181, 2000.
• Hiroshi HASEGAWA, Isao YAMADA, Kohichi SAKANIWA. A Simple Least-squares Design of M-D IIR Filters with Fixed Separable Denominator Based on Multivariate Division Algorithm, Multidimensional Systems and Signal Processing, Vol. 11, No. 4, pp. 339-358, 2000.
• Hiroshi HASEGAWA, Isao YAMADA, Kohichi SAKANIWA. A Design of Near Perfect Reconstruction QMF Banks Based on Hybrid Steepest Descent Method, IEICE Transactions Fundamentals, Vol. E83-A, No. 8, pp. 1523-1530, 2000.
• Masanori KATO, Isao YAMADA, Kohichi SAKANIWA. A Simple Nonlinear Pre-filtering for a Set-theoretic Linear Blind Deconvolution Scheme, IEICE Transactions Fundamentals, Vol. E83-A, No. 8, pp. 1651-1653, 2000.
• Tomohiro SEKIGUCHI, Isao YAMADA, Kohichi SAKANIWA. Robust Identificatin of Nonlinear System by Reduced Rank Volterra Filter, Technical Report of IEICE, Vol. DSP99, pp. 19-24, 2000.
• Isao YAMADA. The Hybrid Steepest Descend Method for the Variational Inequality Problem over the Fixed Point Set of Nonexpansive Mapping, Inherently parallel algorithms in feasibility and optimization and their application, pp. 30-31, 2000.
• 山田　功. 凸射影アルゴリズムの考え方とハイブリッド最急降下法, 電子情報通信学会誌, Vol. 83, No. 8, pp. 616-623, 2000.
• Isao YAMADA, Kenyu YAMADA, Konstantinos SLAVAKIS. An Efficient Robust Adaptive Algorithm Based on Parallel Subgradient Projection Techniques, Technical Report of IEICE, Vol. DSP2000, pp. 41-46, 2000.
• Isao YAMADA, Masanori KATO, Kohichi SAKANIWA . An Optimal Set-theoretic Blind Deconvolution Scheme based on Hybrid Steepest Descent Method , Proceedings of 1999 IEEE International Conference on Acoustics, Speech and Signal Processing, Vol. VI, 3261?3264, 1999.
• Isao Yamada. On convex projection algorithms from POCS to Hybrid steepest descent method , Technical Report of IEICE, Vol. DSP99, pp. 67-74, 1999.
• Msanori Kato, Isao Yamada, Kohichi Sakaniwa. A Set-theoretic Blind Image Deconvolution Based on Hybrid Steepest Descent Method, IEICE Transactions Fundamentals,, Vol. E82-A, No. 8, pp. 1443-1449, 1999.
• Isao YAMADA, Satoshi IINO, Kohichi SAKANIWA. An Associative Memory Neural Network to Recall Nearest Pattern from Input, IEICE Transactions Fundamentals, E82-A, No. 12, pp. 2811-2817, 1999.
• Hiroshi HASEGAWA, Isao YAMADA, Kohichi SAKANIWA. A note on design of two channel linear phase FIR QMF banks based on Hybrid Steepest Descent Method, Proceedings of 14th Digital Signal Processing Symposium, pp. 237-242, 1999.
• Konsantinos SLAVAKIS, Isao YAMADA . Biorthogonal Bases of Compactly Supported Matrix Valued Wavelets , Proceedings of 1999 International Symposium on Signal Processing and Its Applications, pp. 22-25, 1999.
• ISAO YAMADA. Approximation of Convexly Constrained Pseudoinverse by Hybrid Steepest Descent Method, Proceedings of 1999 IEEE International Symposium on Circuits and Systems, V, pp. 37?40, 1999.
• Hiroshi HASEGAWA, Toshio NAKAO, Isao YAMADA, Kohichi SAKANIWA . A note on multivariate generalization of Lanczos principle and its application to signal processing problems , Technical Report of IEICE, DSP-98 , No. 188, pp. 1-7, 1999.
• Hiroshi HASEGAWA, Isao YAMADA, Kohichi SAKANIWA. Least-squares design of M-D IIR filters with fixed separable denominator based on multivariate division algorithm, Proceedings of 1999 European Conference on Circuits Theory and Design, pp. 1139～1142, 1999.
• Isao YAMADA, Koji NAKAJIMA. A Simple M-dimensional Model-Based Phase Unwrapping based on Integration by Parts, Proceedings of 1999 IEEE International Symposium on Circuits and Systems, Vol. V, pp. 33～36, 1999.
• Isao YAMADA, Masanori KATO, Kohichi SAKANIWA. A Nonlinear Pre-filtering Technique for Set-Theoretic Linear Blind Deconvolution Scheme, Proceedings of 1999 International Conference on Image Processing, pp. 401～405, 1999.
• Hiroshi HASEGAWA, Isao YAMADA, Kohichi SAKANIWA. Convex projection approach to design of two-channel linear phase FIR QMF banks in magnitude product space, Technical Report of IEICE, DSP-99, No. 68, pp. 7～12, 1999.
• Isao Yamada, Nobuhiko Ogura, Yukihiko Yamashita, Kohichi Sakaniwa. Quadratic Optimization of Fixed Points of Nonexpansive Mappings in Hilbert Space, Numerical Functional Analysis and Optimization, Vol. 19, No. 1-2, pp. 165-190, 1998.
• Isao Yamada, Hiroshi Hasegawa, Kohichi Sakaniwa. A Note on Constrained Least Sqnares Design of M-D FIR Filter Based on Convex Projection Technique, IEICE Trans. Fundamentals, Vol. E81-A, No. 8, pp. 1586-1591, 1998.
• Isao Yamada, Kaoru Kurosawa, Hiroshi Hasegawa, Kohichi Sakaniwa. Algebraic Multidimensional Phase Unwrapping and Zero Distribution of Complex Polynomials---Characterization of Multivariate Stable Polynomials, IEEE Transactions on Signal Processing, Vol. 46, No. 6, pp. 1639-1667, 1998.
• Frank Deutsch, Isao Yamada. Minimizing Certain Convex Functions over the Intersection of the Fixed Point Sets of Nonexpansive Mappings, Numerical Functional Analysis and Optimization, Vol. 19, No. 1-2, pp. 33-56, 1998.
• Hiroshi Hasegawa, Isao Yamada, Kohichi Sakaniwa. Simple derivation of stability radius of multivariate systems, Electronics Letters, Vol. 33, No. 11, pp. 937, 1997.
• Isao Yamada, Nobuhiko Ogura, Yukihiko Yamashita, Kohichi Sakaniwa. An optimal fixed point theorem for nonexpansive operator and its application to set theoretic signal estimation -optimization with inconsistent convex constraints-, Proc. of International Symposium on Information Theory and Its application, pp. 736-742, 1996.
• Teruo Ajimura, Isao Yamada, Kohichi Sakaniwa. A fast neural network learning with guaranteed convergence to zero system error, IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E79-A, No. 9, pp. 1433-1439, 1996.
• Isao Yamada, Nobuhiko Ogura, Kohichi Sakaniwa. Constrained Parallel Projection methods for optimal signal estimation and design, Proc. of International Conference on Image Processing '96, Vol. 3, pp. 67-72, 1996.
• Isao Yamada, Kaoru Kurosawa, Hiroshi Hasegwa, Kohichi Sakaniwa. 多次元連続位相導出アルゴリズムと多項式の零点分布決定への応用, 電子情報通信学会 技術研究所報告, Vol. 95-1, pp. 1-8, 1995.
• Isao Yamada, Kohichi Sakaniwa. Global Optimization Algorithm based on Excluding Hyperspheres, 第17回情報理論とその応用シンポジウム予稿集, pp. 29-32, 1994.
• Isao Yamada, Kohichi Sakaniwa, Shigeo Tsujii. A Multidimensional Isomorphic Operator and Its Properties ---A Proposal of Finite Extent Multidimensional Cepstrum, IEEE Transactions on Signal Processing, Vol. 42, No. 7, pp. 1766-1785, 1994.
• 山田　功, 宮村剛志, 坂庭好一. 探索領域限定学習法と非探索領域の改良, 電子情報通信学会 論文誌, Vol. J77-DII, No. 9, pp. 1859-1881, 1994.
• Isao Yamada, Kohichi Sakaniwa. MA System Identification from dispectrum, Electronics Letters, Vol. 30, No. 23, pp. 1919-1920, 1994.
• Isao Yamada, Kohichi Sakaniwa. Excluding Hyperspheres for Global Optimization, Proceedings of International Symposium on Information Theory and Its Applications, pp. 757-762, 1994.
• 黒沢　馨, 山本和人, 山田　功. Maximally decimated直線位相完全QMFシステムの一設計法, 電子情報通信学会論文誌(A), Vol. J76-A, No. 3, 1993.
• Isao Yamada, Kohichi Sakaniwa. An Optimal Design for a Homomorphic Deconvolution System, IEEE Trans. on Signal Processing, Vol. 40, pp. 9, 1992.
• Isao YAMADA, Kohichi SAKANIWA. New Multi-dimensional Homomorphic Operator and Its Properties, IEEE 7'th Work shop on Multi-dinensional signal Processing, 1991.
• 宮村剛志, 山田 功, 坂庭好一. 探索領域限定学習法とそのニューラルネットワークへの応用, 電子情報通信学会技術研究報告 , Vol. NC91, pp. 31-37, 1991.
• Tsuyoshi MIYAMURA, Isao YAMADA, Kohichi SAKANIWA. Restricted Learning and Its Application to Nearal Network Training, 1991 IEEE Workshop on Neural Networks for Signal Processing, 1991.
• 山田　功, 坂庭好一. A New Homorphic Deconvolution System and Its Optimal Design, Trans. IEICE of Japan(A), Vol. 73, pp. 4, 1990.
• 山田　功, 坂庭好一. A New Homomorphic Operator and Its Application to Deconvolution Problems, Trans. IEICE of Japan(A), Vol. 72, pp. 10, 1989.

著書

• 山田功, 高橋則行. 適応フィルタの学習アルゴリ ズム—基本原理と性能解析, 数理工学事典, 朝倉書店, pp. 147-156, Oct. 2011.
• Isao YAMADA, Masahiro Yukawa, Masao Yamagishi. Minimizing the Moreau envelope of nonsmooth convex functions over the fixed point set of certain quasi-nonexpansive mappings, In: Fixed-Point Algorithms for Inverse Problems in Science and Engineering (H. H. Bauschke, R. Burachik, P. L. Combettes, V. Elser, D. R. Luke, H. Wolkowicz, eds.), Springer-Verlag, 2011.
• 山田功. 工学のための関数解析, 数理工学社(サイエンス社), A5版/256頁, May 2009.
• 山田功. 数学が切り拓く情報通信の世界, 四谷学院の「最新」学部学科がよくわかる本 (四谷学院進学指導部編著), アーク出版, pp. 216-217, Sept. 2007.
• Isao YAMADA, Nobuhiko OGURA, Nobuyasu SHIRAKAWA. A Numerically Robust Hybrid Steepest Descent Method for the Convexly Constrained Generalized Inverse Problems, in Inverse Problems, Image Analysis, and Medical Imaging, (Z. Nashed and O. Scherzer, Eds.) Contemporary Mathematics Book Series, 313 (Americam Mathematical Society), in Inverse Problems, Image Analysis, and Medical Imaging, (Z. Nashed and O. Scherzer, Eds.) Contemporary Mathematics Book Series, 313 (Americam Mathematical Society), Vol. 313, pp. 269-305, 2002.
• Isao YAMADA. The Hybrid Steepest Descent Method for the Variational Inequality Problem over the Intersection of Fixed Point Sets of Nonexpansive Mappings, in Inherently Parallel Algorithms in Feasibility and Optimization and their Applications, (D. Butnariu, Y. Censor, S. Reich), Elsevier, Elsevier, pp. 473-504, 2001.
• 山田功. 電子情報通信ハンドブック（分担:信号理論）, 電子情報通信学会編, 電子情報通信学会編, 1998.

国際会議発表 (査読有り)

• Wataru Yata, Isao Yamada. Imposing early and asymptotic constraints on LiGME with application to nonconvex enhancement of fused lasso models, IEEE ICASSP 2024, Apr. 2024.
• Yi Zhang, Isao Yamada. Computing an Entire Solution Path of a Nonconvexly Regularized Convex Sparse Model, IEEE ICASSP 2024, Apr. 2024.
• Keita Kume, ISAO YAMADA. A variable smoothing for nonconvexly constrained nonsmooth optimization with application to sparse spectral clustering, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Mar. 2024.  公式リンク  
  
• Yi Zhang, Isao Yamada. A Compensated Shrinkage Affine Projection Algorithm for Debiased Sparse Adaptive Filtering, IEEE ICASSP 2023, June 2023.
• Masahiro Yukawa, Kyohei Suzuki, Isao Yamada. Stable Robust Regression under Sparse Outlier and Gaussian Noise, EUSIPCO2022, Proc. EUSIPCO2022, Aug. 2022.
• Yi Zhang, Isao Yamada. A UNIFIED CLASS OF DC-TYPE CONVEXITY PRESERVING REGULARIZERS FOR IMPROVED SPARSE REGULARIZATION, EUSIPCO 2022, Proc. EUSIPCO2022, Aug. 2022.
• Wataru Yata, Masao Yamagishi, Isao Yamada. A Constrained Linearly Involved Generalized Moreau Enhanced Model and Its Proximal Splitting Algorithm, 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), Proc. IEEE MLSP 2021, Oct. 2021.
• Takehiko Mizoguchi, Isao Yamada. A Hypercomplex Tensor-SVD and Its Application, 2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Proc. APSIPA ASC 2021, Oct. 2021.
• Yi Zhang, Isao Yamada. DC-LiGME: An Efficient Algorithm for Improved Convex Sparse Regularization, 2021 55th Asilomar Conference on Signals, Systems, and Computers, Proc. 2021 55th Asilomar Conference on Signals, Systems, and Computers, pp. 1348-1354, Oct. 2021.
• Ryota Komatsu, Masao Yamagishi, Isao Yamada. A GRAPH REGULARIZED RPCA BY GENERALIZED MOREAU ENHANCED MODEL, 29th European Signal Processing Conference, EUSIPCO 2021, Aug. 2021.
• Yang Chen, Masao Yamagishi, Isao Yamada. A GENERALIZED MOREAU ENHANCEMENT OF L2,1-NORM AND ITS APPLICATION TO GROUP SPARSE CLASSIFICATION, 29th European Signal Processing Conference, EUSIPCO 2021, Aug. 2021.
• Keita Kume, Isao Yamada. A Global Cayley Parametrization of Stiefel Manifold for Direct Utilization of Optimization Mechanism over Vector Spaces, IEEE ICASSP2021 - Extracting Knowledge from Information, Proceedings of ICASSP2021, June 2021.
• Riku Akema, Masao Yamagishi, Isao Yamada. Exploiting Commutativity Condition for CP Decomposition via Approximate Simultaneous Diagonalization, IEEE ICASSP 2020, IEEE, May 2020.
• Isao Yamada, Masao Yamagishi. Hierarchical Convex Optimization with Proximal Splitting Operators - Robust Hierarchical Convex Relaxation for Multiclass Support Vector Machine, AMS Special Session on "Interactions of Inverse Problems, Computational Harmonic Analysis, and Imaging", Jan. 2020.
• Keita Kume, Isao Yamada. A NESTEROV-TYPE ACCELERATION WITH ADAPTIVE LOCALIZED CAYLEY PARAMETRIZATION FOR OPTIMIZATION OVER THE STIEFEL MANIFOLD, EUSIPCO 2020, Proceedings of Eusipco 2020, 2020.
• Hiroki Kuroda, Masao Yamagishi, Isao Yamada. Segmentation of Piecewise ARX Processes by Exploiting Sparsity in Tight Dimensional Spaces, Eusipco 2019, Proceedings of Eusipco 2019, Sept. 2019.
• Keita Kume, Isao Yamada. Adaptive Localized Cayley Parametrization Technique for Smooth Optimization over the Stiefel Manifold, EUSIPCO2019, Proceedings of Eusipco 2019, Sept. 2019.
• Jiro Abe, Masao Yamagishi, Isao Yamada. Convexity-Edge-Preserving Signal Recovery with Linearly Involved Generalized Minimax Concave Penalty Function, IEEE ICASSP 2019, Proc. IEEE ICASSP 2019, May 2019.
• Takehiko Mizoguchi, Isao Yamada. Hypercomplex Low Rank Matrix Completion with Non-negative Constraints via Convex Optimization, IEEE ICASSP 2019, Proc. IEEE ICASSP 2019, IEEE, May 2019.
• Riku Akema, Masao Yamagishi, Isao Yamada. An Alternating Projection Algorithm for Approximate Simultaneous Diagonalization, IEEE ICASSP 2019, Proc. IEEE ICASSP 2019, May 2019.
• Kengo Uchida, Isao Yamada. A Nested l_1-penalized Adaptive Normalized Quasi-Newton Algorithm for Sparsity-aware Generalized Eigen-subspace Extraction, Proceedings of APSIPA ASC 2018, (in USB memory), Nov. 2018.
• Masao Yamagishi, Masaya Endo, Isao Yamada. A DDoS Attack Detection by Group-Sparse Plus Low-Rank Temporally-Smooth Decomposition for Extended OD Flow Matrix, APSIPA ASC 2018, Proceedings of APSIPA ASC 2018, (in USB memory), Nov. 2018.
• Daichi Kitahara, Isao Yamada. A BRANCH CUT ALGORITHM FOR 180-DEGREE AMBIGUITY RESOLUTION IN 2D VECTOR FIELDS AND ITS APPLICATION TO SINGLE-FRAME FRINGE PROJECTION PROFILOMETRY, APSIPA ASC 2018, Proceeings of APSIPA ASC 2018, (in USB memory), Nov. 2018.
• Takehiko Mizoguchi, Isao Yamada. Hypercomplex Principal Component Pursuit via Convex Optimization, APSIPA ASC 2018, Proceedings of APSIPA ASC 2018, (in USB memory), Nov. 2018.
• Masahiro Yukawa, Isao Yamada. A Fixed-Point Analysis of Regularized Dual Averaging Under Static Scenarios, APSIPA ASC 2018, Proceedings of APSIPA ASC 2018, (in USB mamory), Nov. 2018.
• Riku Akema, Masao Yamagishi, Isao Yamada. An Efficient Greedy Algorithm for Finding the Nearest Simultaneous Diagonalizable Family, IEEE Statistical Signal Processing Workshop 2018, Proceedings of IEEE SSP 2018, (in USB memory), June 2018.
• Masao Yamagishi, Isao Yamada. Sparsity-aware adaptive proximal forward-backward splitting under the principle of minimal disturbance, IEEE Statistical Signal Processing Workshop 2018, Proceedings of IEEE SSP 2018, (in USB memory), June 2018.
• Kengo Uchida, Isao Yamada. An l1-Penalization of Adaptive Normalized Quasi-Newton Algorithm for Sparsity-aware Generalized Eigenvector Estimation, IEEE Statistical Signal Processing Workshop 2018, Proceedings of IEEE SSP 2018, (in USB memory), June 2018.
• Takehiko Mizoguchi, Isao Yamada. HYPERCOMPLEX TENSOR COMPLETION WITH CAYLEY-DICKSON SINGULAR VALUE DECOMPOSITION, IEEE ICASSP 2018, Proceedings of IEEE ICASSP 2018, IEEE, (in CD-ROM), Apr. 2018.
• Hiroki Kuroda, Masao Yamagishi, Isao Yamada. ALTERNATING MINIMIZATION APPROACH FOR IDENTIFICATION OF PIECEWISE CONTINUOUS HAMMERSTEIN SYSTEMS, IEEE ICASSP 2018, Proceedings of IEEE ICASSP 2018, IEEE, (in CD-ROM), Apr. 2018.
• Kwangjin Jeong, Masahiro Yukawa, Masao Yamagishi, Isao Yamada. AUTOMATIC SHRINKAGE TUNING ROBUST TO INPUT CORRELATION FOR SPARSITY-AWARE ADAPTIVE FILTERING, IEEE ICASSP 2018, Proceedings of IEEE ICASSP 2018, IEEE, (in CD-ROM), Apr. 2018.
• Hiroki Kuroda, Masao Yamagishi, Isao Yamada. Recovery of Piecewise Finite-Dimensional Continuous Signals by Exploiting Sparsity, SampTA 2017 (Sampling Theory and Applications, 12th International Conference), Proceedings of SampTA 2017, In CD-ROM, July 2017.
• Daichi Kitahara, Isao Yamada. Algebraic Phase Unwrapping with Self-Reciprocal Polynomial Algebra, SampTA 2017 (Sampling Theory and Applications, 12th International Conference), Proceedings of SampTA 2017, July 2017.
• Isao Yamada, Masao Yamagishi. Hierarchical Convex Optimization and Proximal Splitting for High-Dimensional Statistics (Invited Talk), SIAM conference on Optimization 2017- Mini-Symposium on Proximal Techniques for High-Dimensional Statistics, SIAM conference on Optimization 2017, May 2017.
• Masao Yamagishi, Yukawa Masahiro, Isao Yamada. AUTOMATIC SHRINKAGE TUNING BASED ON A SYSTEM-MISMATCH ESTIMATE FOR SPARSITY-AWARE ADAPTIVE FILTERING, IEEE ICASSP 2017, Proceedings of IEEE ICASSP 2017, IEEE, In CD-ROM, Mar. 2017.
• Konstantinos Slavakis, Isao Yamada, Shunsuke Ono. Accelerating the hybrid steepest descent method for affinely constrained convex composite minimization tasks, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Proceedings of IEEE ICASSP 2017, pp. 4711-4715, Mar. 2017.
• Masao Yamagishi, Isao Yamada. GLOBAL BEHAVIOR OF PARALLEL PROJECTION METHOD FOR CERTAIN NONCONVEX FEASIBILITY PROBLEMS, IEEE ICASSP 2017, Proceedings of IEEE ICASSP 2017, IEEE, in CD-ROM, Mar. 2017.
• Kenji Kakimoto, Masao Yamagishi, Isao Yamada. ACCELERATION OF ADAPTIVE NORMALIZED QUASI-NEWTON ALGORITHM WITH IMPROVED UPPER BOUNDS OF THE CONDITION NUMBER, IEEE ICASSP 2017, Proceedings of IEEE ICASSP 2017, In CD-ROM, Mar. 2017.
• Masao Yamagishi, Daichi Kitahara, Isao Yamada. A FAST DUAL ITERATIVE ALGORITHM FOR CONVEXLY CONSTRAINED SPLINE SMOOTHING, Proceedings of IEEE ICASSP 2016, Mar. 2016.
• Kenji Kakimoto, Daichi Kitahara, Masao Yamagishi, Isao Yamada. STABILIZATION OF ADAPTIVE EIGENVECTOR EXTRACTION BY CONTINUATION IN NESTED ORTHOGONAL COMPLEMENT STRUCTURE, Proceedings of IEEE ICASSP 2016, Mar. 2016.
• Daichi Kitahara, Isao Yamada. TWO-DIMENSIONAL POSITIVE SPLINE SMOOTHING AND ITS APPLICATION TO PROBABILITY DENSITY ESTIMATION, IEEE ICASSP2016, Proceedings of IEEE ICASSP2016, In CD-ROM, Mar. 2016.
• Masao Yamagishi, Isao Yamada. A nonexpansive operator for computationally efficient hierarchical convex optimization, Proceedings of APSIPA ASC, Dec. 2015.
• Shunsuke Ono, Isao Yamada, Itsuo Kumazawa. Total Generalized Variation for Graph Signals, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2015, Proceedings of IEEE ICASSP 2015, Apr. 2015.
• Daichi Kitahara, Isao Yamada. Probability density function estimation by positive quadratic C2-spline functions, Proceedings of IEEE ICASSP 2015, In CD-ROM, Apr. 2015.
• Daichi Kitahara, Masao Yamagishi, Isao Yamada. A virtual resampling technique for algebraic two-dimensional phase unwrapping, IEEE ICASSP2015, Proceedings of IEEE ICASSP 2015, In CD-ROM, Apr. 2015.
• Tomonori Fujiwara, Masao Yamagishi, Isao Yamada. Reduced-rank modeling of time-varying spectral patterns for supervised source separation, IEEE ICASSP2015, Proceedings of IEEE ICASSP 2015, In CD-ROM, Apr. 2015.
• Naoki Tomida, Masao Yamagishi, Isao Yamada, Toshihisa Tanaka. A Reduced Rank Approach for Covariance Matrix Estimation in EEG Signal Classification, The 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’14), IEEE, Aug. 2014.
• Shunsuke Ono, Isao Yamada. Decorrelated Vectorial Total Variation, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2014, Proceedings of IEEE CVPR2014, June 2014.
• Shunsuke Ono, Isao Yamada. Second-Order Total Generalized Variation Constraint, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2014, Proceedings of IEEE ICASSP2014, May 2014.
• Daichi Kitahara, Isao Yamada. Algebraic Phase Unwrapping over Collection of Triangles Based on Two-dimensional Spline Smoothing, IEEE ICASSP 2014, Proceedings of IEEE ICASSP2014, In CD-ROM, May 2014.
• Wemer Wee, Masao Yamagishi, Isao Yamada. Mean-square performance of the hyperslab-based adaptive projected subgradient method, IEEE ICASSP 2014, Proceedings of IEEE ICASSP2014, In CD-ROM, May 2014.
• Katsuhiro Toyokawa, Shunsuke Ono, Masao Yamagishi, Isao Yamada. Detecting Edges of Reflections from a Single Image via Convex Optimization, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2014, Proceedings of IEEE ICASSP2014, May 2014.
• Hiroki Kuroda, Masao Yamagishi, Isao Yamada. Avoiding Local Trap in Nonlinear Acoustic Echo Cancellation with Clipping Compensation, IEEE ICASSP 2014, Proceedings of IEEE ICASSP2014, IEEE, In CD-ROM, May 2014.
• Tomasz Piotrowski, Dania Gutierrez, Isao Yamada, Jaroslaw Zygierewicz. Reduced-rank neural activity index for EEG/MEG multi-source localization, IEEE ICASSP 2014, Proceedings of IEEE ICASSP2014, IEEE, In CD-ROM, May 2014.
• Masao Yamagishi, Masahiro Yukawa, Isao Yamada. Shrinkage Tuning Based on An Unbiased MSE Estimate for Sparsity-aware Adaptive Filtering, IEEE ICASSP 2014, Proceedings of IEEE ICASSP2014, IEEE, In CD-ROM, May 2014.
• Piotrowski, T., Gutiérrez, D., ISAO YAMADA, Zygierewicz, J.. A family of reduced-rank neural activity indices for EEG/MEG source localization, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 8609 LNAI, pp. 447-458, 2014.
• Shunsuke Ono, Isao Yamada. Optimized JPEG Image Decompression with Super-Resolution Interpolation Using Multi-Order Total Variation, IEEE International Conference on Image Processing (ICIP) 2013, Proceedings of IEEE ICIP2013, Sept. 2013.
• Isao Yamada, Shunsuke Ono. Signal Recovery by Minimizing the Moreau Envelope Over the Fixed Point Set of Nonexpansive Mappings, European Signal Processing Conference (EUSIPCO) 2013, Proceedings of EUSIPCO2013, Sept. 2013.
• Shunsuke Ono, Isao Yamada. A Convex Regularizer for Reducing Color Artifact in Color Image Recovery, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2013, Proceedings of IEEE CVPR2013, June 2013.  公式リンク  
  
• Takehiko Mizoguchi, ISAO YAMADA. AN ALGEBRAIC REAL TRANSLATION OF HYPERCOMPLEX LINEAR SYSTEMS AND ITS APPLICATION TO ADAPTIVE FILTERING, IEEE ICASSP2013, Proceedings of IEEE ICASSP2013, May 2013.
• Wemer Wee, ISAO YAMADA. A PROXIMAL SPLITTING APPROACH TO REGULARIZED DISTRIBUTED ADAPTIVE ESTIMATION IN DIFFUSION NETWORKS, IEEE ICASSP2013, Proceedings of IEEE ICASSP2013, May 2013.
• Daichi Kitahara, ISAO YAMADA. ALGEBRAIC PHASE UNWRAPPING FOR FUNCTIONAL DATA ANALYTIC ESTIMATIONS --- EXTENSIONS AND STABILIZATIONS, IEEE ICASSP2013, Proceedings of IEEE ICASSP2013, May 2013.
• Shunsuke Ono, Isao Yamada. Poisson Image Restoration with Likelihood Constraint via Hybrid Steepest Descent Method, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2013, Proceedings of IEEE ICASSP2013, pp. 5929-5933, May 2013.  公式リンク  
  
• Tomasz Piotrowski, Claudia Carolina Zaragoza Martinez, D. Gutierrez, Isao Yamada. MV-PURE ESTIMATOR OF DIPOLE SOURCE SIGNALS IN EEG, IEEE ICASSP2013, Proceedings of IEEE ICASSP2013, May 2013.
• Shunsuke Ono, Masao Yamagishi, Isao Yamada. A Sparse System Identification by Using Adaptively-Weighted Total Variation via A Primal-Dual Splitting Approach, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2013, Proceedings of IEEE ICASSP2013, pp. 6029-6033, May 2013.  公式リンク  
  
• Masao Yamagishi, Isao Yamada. A RANK SELECTION OF MV-PURE WITH AN UNBIASED PREDICTED-MSE CRITERION AND ITS EFFICIENT IMPLEMENTATION IN IMAGE RESTORATION, IEEE ICASSP2013, Proceedings of IEEE ICASSP2013, May 2013.
• Masao Yamagishi, Isao Yamada. Exploiting Sparsity in Feed-Forward Active Noise Control with Adaptive Douglas-Rachford Splitting, APSIPA ASC 2013, 2013.
• Yukawa, M., Tawara, Y., Sasaki, S., ISAO YAMADA. A sparsity-based design of regularization parameter for adaptive proximal forward-backward splitting algorithm, Proceedings of the International Symposium on Wireless Communication Systems, pp. 190-193, 2013.
• Shunsuke Ono, Isao Yamada. A Hierarchical Convex Optimization Approach for High Fidelity Solution Selection in Image Recovery, APSIPA Annual Summit and Conference 2012, Proceedings of APSIPA ASC 2012, Dec. 2012.
• Takayuki Yamamoto, Masao Yamagishi, Isao Yamada. Adaptive Proximal Forward-Backward Splitting for Sparse System Identification Under Impulsive Noise, 2012 European Signal Processing Conference (EUSIPCO-2012), Proceedings of EUSIPCO 2012, Aug. 2012.
• Tomasz Piotrowski, Isao Yamada. Efficient parallel computation of the stochastic MV-PURE estimator by the hybrid steepest descent method, ICAISC 2012 ( International Conference on Artificial Intelligence and Soft Computing), Lecture Note in Computer Science, vol. 7268, pp. 404-412, Apr. 2012.
• Masao Yamagishi, Shunsuke Ono, Isao Yamada. Two Variants of Alternating Direction Method of Multipliers without Inner Iterations and Their Application to Image Super-Resolution, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2012, Proceedings of IEEE ICASSP 2012, Mar. 2012.
• Sergios Theodoridis, Isao Yamada, Konstantinos Slavakis. Learning in the Context of Set Theoretic Estimation: An Efficient and Unifying Framework for Adaptive Machine Learning and Signal Processing (Tutorial Lecture at IEEE ICASSP 2012), IEEE ICASSP 2012, IEEE, Mar. 2012.
• Tomasz Piotrowski, Isao Yamada. Performance of the Stochastic MV-PURE Estimator with Explicit Modeling of Uncertainity, IEEE ICASSP 2012, Proceedings of IEEE ICASSP 2012, Mar. 2012.
• Shunsuke Ono, Takamichi Miyata, Isao Yamada, Katsunori Yamaoka. Missing Region Recovery by Promoting Blockwise Low-Rankness, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2012, Proceedings of IEEE ICASSP2012, Mar. 2012.
• Yukawa, M., Tawara, Y., Yamagishi, M., ISAO YAMADA. Sparsity-aware adaptive filters based on p-norm inspired soft-thresholding technique, ISCAS 2012 - 2012 IEEE International Symposium on Circuits and Systems, pp. 2749-2752, 2012.
• Masahiro Yukawa, Isao Yamada. Adaptive Beamforming by Simultaneous Projection in Dual Domains, 7th International Workshop on Multidimensional (nD) Systems (nDS 2011), Proceedings of NDS2011, Sept. 2011.
• Masahiro Yukawa, Isao Yamada. A Deterministic Analysis of Linearly Constrained Adaptive Filtering Algorithms, The 2011 European Signal Processing Conference (EUSIPCO‐2011), Proceedings of Eusipco 2011, Aug. 2011.
• Isao Yamada, Silvia Gandy, Masao Yamagishi. Sparsity-aware adaptive filtering based on a Douglas-Rachford splitting, EUSIPCO 2011, Proceedings of Eusipco 2011, Aug. 2011.
• Masao Yamagishi, Isao Yamada. Overrelaxation of the Fast Iterative Shrinkage/Thresholding Algorithm for Fast Signal Recovery, IEEE International Workshop on Statistical Signal Processing 2011 (SSP'11), Proceedings of IEEE SSP 2011, IEEE, June 2011.
• Masahiro Yukawa, Isao Yamada. Dual-Domain Adaptive Beamforming Based on Direction-Of-Arrival Information, IEEE International Workshop on Statistical Signal Processing 2011 (SSP'11), Proceedings of IEEE SSP 2011, IEEE, June 2011.
• Masao Yamagishi, Masahiro Yukawa, Isao Yamada. Acceleration of adaptive proximal forward-backward splitting method and its application to sparse system identification, IEEE ICASSP 2011, Proceedings of IEEE ICASSP 2011, May 2011.  公式リンク  
  
• Masao Yamagishi, Masahiro Yukawa, Isao Yamada. Sparse system identification by exponentially weighted adaptive parallel projection and generalized soft-thresholding, Proceedings of APSIPA ASC 2010, Nov. 2010.
• Konstantinos Slavakis, Sergios Theodoridis, Isao Yamada. Low Complexity Projection-based Adaptive Algorithm for Sparse System Identification and Signal Reconstruction, The 44th Asilomar Conference on Signals, Systems and Computers, Nov. 2010.
• Masahiro Yukawa, Isao Yamada. Two Product-Space Formulations for Unifying Multiple Metrics in Set-Theoretic Adaptive Filtering, The 44th Asilomar Conference on Signals, Systems and Computers, Nov. 2010.
• Renato Cavalcante, Alex Rogers, Nicholas Jennings, ISAO YAMADA. Distributed multiagent learning with a broadcast adaptive subgradient method, The 9th International Conference on Autonomous Agents and Multiagent Systems, May 2010.  公式リンク  
  
• Noriyuki Takahashi, Isao Yamada. Link Probability Control for Probabilistic Diffusion Least-Mean Squares over Resource-Constrained Networks, IEEE ICASSP 2010, Proceedings of IEEE ICASSP 2010, Mar. 2010.
• Yukihiro Murakami, Masao Yamagishi, Masahiro Yukawa, Isao Yamada. A Sparse Adaptive Filtering Using Time-Varying Soft-Thresholding Techniques, Proceedings of IEEE ICASSP 2010, Mar. 2010.
• Masahiro Yukawa, Konstantinos Slavakis, Isao Yamada. Multi-Domain Adaptive Filtering by Feasibility Splitting, IEEE ICASSP 2010, Mar. 2010.
• Masahiro Yukawa, Isao Yamada. A Deterministic Analysis of Variable-Metric Adaptive Filtering Algorithms under Small Metric-Fluctuations, IEEE ICASSP 2010, Proceedings of IEEE ICASSP 2010, Mar. 2010.
• Masahiro Yukawa, Isao Yamada. Minimal Antenna-Subset Selection under Capacity Constraint for Power-Efficiency MIMO Systems: A Relaxed L1 Minimization Approach, IEEE ICASSP 2010, Proceedings of IEEE ICASSP 2010, Mar. 2010.
• Silvia Gandy, Isao Yamada. Alternating Minimization Techniques for the Efficient Recovery of a Sparsely Corrupted Low-Rank Matrix, IEEE ICASSP 2010, Mar. 2010.
• Shinji Shimamura, Isao Yamada. A Robust Function Estimation in Reproducing Kernel Hilbert Space Based on Finite Dimensional Reformulations, APSIPA ASC 2009, Proceedings of APSIPA ASC 2009, APSIPA (Asia-Pacific Signal and Information Processing Association), in CD-ROM, Oct. 2009.
• Tomasz Piotrowski, ISAO YAMADA. Why the Stochastic MV-PURE Estimator Excels in Highly Noisy Situations ?, Proceedings of IEEE ICASSP 2009, (in CD-ROM), Apr. 2009.
• Masao YAMAGISHI, Isao YAMADA. An Improvement of Subgradient Projection Operator by Composing Monotone Functions, Proceedings of IEEE ICASSP 2009, (in CD-ROM), Apr. 2009.
• Noriyuki Takahashi, Isao Yamada, Ali Sayed. Diffusion Least-Mean Squares with Adaptive Combiners, Proceedings of IEEE ICASSP 2009, (in CD-ROM), Apr. 2009.
• Renato Cavalcante, ISAO YAMADA, Bernard Mulgrew. Learning in diffusion networks with an adaptive projected subgradient method, Proceedings of IEEE ICASSP 2009, (in CD-ROM), Apr. 2009.
• Masahiro Yukawa, Konstantinos Slavakis, Isao Yamada. Signal Processing in Dual Domain By Adaptive Projected Subgradient Method, DSP 2009, 2009 16th International Conference on Digital Signal Processing (DSP 2009), Santorini, Greece, Mar. 2009.
• Konstantinos SLAVAKIS, Sergios THEODORIDIS, Isao YAMADA. Robust Adaptive Nonlinear Beamforming by Kernels and Projection Mappings, EUSIPCO 2008, Proceedings of EUSIPCO 2008, in CD-ROM, Aug. 2008.
• ISAO YAMADA. Tutorial Lecture: Signal Processing Applications of Fixed Point Theory of Quasi-nonexpansive Mapping, 6th International Conference on Information, Communications and Signal Processing (ICICS 2007), 6th International Conference on Information, Communications and Signal Processing (ICICS 2007), Dec. 2007.  公式リンク  
  
• ISAO YAMADA. Optimization over possibly nonconvex fixed point set of certain mappings and its signal processing applications, Second Mathematical Programming Society International Conference on Continuous Optimization ICCOPT II & MOPTA-07, Second Mathematical Programming Society International Conference on Continuous Optimization ICCOPT II & MOPTA-07, Nov. 2007.
• Masahiro Yukawa, Rodorigo de LAMARE, ISAO YAMADA. Set-Theoretic Reduced-Rank Adaptive Filtering by Adaptive Projected Subgradient Method, The 41st Asilomar Conference on Signals, Systems and Computers, Proceedings of the 41st Asilomar Conference on Signals, Systems and Computers, IEEE, Nov. 2007.
• Tomasz Piotrowski, ISAO YAMADA. Minimum-Variance Pseudo-Unbiased Reduced-Rank Estimator (MV-PURE) and its applications to ill-conditioned inverse problems, Proceedings of the 2007 International Workshop on Spectral Methods and Multirate Signal Processing (SMMSP 2007), Tampere University of Technology, pp. 29-35, Sept. 2007.
• Takahashi Noriyuki, ISAO YAMADA. Hybrid Jacobi method and Hybrid Gauss-Seidel method for signal processing over distributed network, Proceedings of the 2007 International Workshop on Spectral Methods and Multirate Signal Processing (SMMSP 2007), Tampere University of Technology, pp. 249-255, Sept. 2007.
• Konstantinos Slavakis, Sergios Theodridis, ISAO YAMADA. Online sparse kernel-based classification by projection, 2007 IEEE International Workshop on Machine Learning for Signal Processing (MLSP2007), Proceedings of 2007 IEEE International Workshop on Machine Learning for Signal Processing (MLSP2007), IEEE, pp. in CD-ROM, Aug. 2007.
• Danilo P. Mandic, ISAO YAMADA. Tutorial Lecture : Machine Learning and Signal Processing Applications, IEEE ICASSP 2007, IEEE ICASSP 2007: Tutorial Textbook, pp. 1-135, Apr. 2007.
• Nobuhiko OGURA, Isao YAMADA. Nonstrictly convex minimization over the bounded fixed point set of the nonexpansive mapping, Numerical Functional Analysis and Optimization, Vol. 24, No. 1&2, pp. 129--136, 2003.
• ISAO YAMADA, 坂庭好一. An Optimal Design of Homomorphic Deconvolution System, Trans. IEICE of Japan(A), Vol. 71, pp. 7, 1988.

国内会議発表 (査読有り)

• 山田功. 凸集合精密表現言語としての非拡大写像と不動点近似-信号処理・機械学習・最適化への応用の広がり, 電子情報通信学会ソサイエティ大会(チュートリアルセッション「AT-2. 確率的最適化と信号処理」), 2018年電子情報通信学会ソサイエティ大会講演論文集, (in CD-ROM), Sept. 2018.
• 黒田大貴, 山岸昌夫, 山田 功. スパース性を活用した区分的ARXモデルの分割点推定, 2018年電子情報通信学会ソサイエティ大会, 2018年電子情報通信学会ソサイエティ大会講演論文集, (in CD-ROM), Sept. 2018.
• 石田浩晃, 山岸昌夫, 山田 功. 辞書更新に伴う変動歪の最小化を実現する再生核適応学習法, 2016年 電子情報通信学会 ソサイエティ大会, 2016年ソサイエティ大会講演論文集, 電子情報通信学会, p. 119, Sept. 2016.
• 山田功, 北原大地. 位相をつなぐ - 代数的位相アンラップとその応用, 2016年 電子情報通信学会 ソサイエティ大会, 2016年ソサイエティ大会論文講演論文集, 電子情報通信学会, pp. ss14-ss15, Sept. 2016.
• 山田功. 不動点理論から見える凸最適化アルゴリズムの共通原理について, 2013 年 電子情報通信学会総合大会, 2013年電子情報通信学会総合大会講演論文集, pp. SS24-SS27, Mar. 2013.
• 山田功. AP-1-1 信号処理・最適化・逆問題 : 分野間の相互作用から見えてくること(AP-1.信号処理工学の多様性と数理的体系化への挑戦,パネルセッション,ソサイエティ企画), 電子情報通信学会ソサイエティ大会講演論文集, 一般社団法人電子情報通信学会, Vol. 2011, pp. "SS-12"-"SS-13", Aug. 2011.
• 山田功. 低階数最小分散擬似不偏推定法の考え方 (依頼講演), シンポジウム(ABS-1：ブロードバンド通信のための信号処理技術), 2009年電子情報通信学会ソサイエティ大会講演論文集, Sept. 2009.
• Masahiro Yukawa, Konstantinos Slavakis, Isao Yamada. Multi-Domain Adaptive Learning, 2009 IEICE Society Conference, Proceedings of the 2009 IEICE Society Conference, IEICE, in CD-ROM, Sept. 2009.
• Masao YAMAGISHI, Isao YAMADA. Acceleration of the Adaboost with Exact Plane Search, シンポジウム(ADS-1 信号処理のための機械学習) 電子情報通信学会総合全国大会, Proceedings of the 2009 IEICE General Conference, IEICE, p. S19-S20, Mar. 2009.

国際会議発表 (査読なし・不明)

• Isao YAMADA. Hybrid Steepest Descent Method and Adaptive Projected Subgradient Method --- Their Unified View and Signal Processing Applications (INVITED), ABSTRACTS[AMS-SIAM Special Session on Nonsmooth Analysis in Variational and Imaging Problems, (111th Annual Meeting of the American Mathematical Society), Atlanta, Georgia, January 7 - 8], Vol. 26, No. 1, 2005.
• Renato L. G. Cavalcante, Masahiro Yukawa, Isao Yamada. Set-Theoretic DS/CDMA Receivers for Fading Channels by Adaptive Projected Subgradient Method, IEEE GLOBECOM 2005, Proceedings of GLOBECOM 2005, pp. CD-ROM, Nov. 2005.
• Isao Yamada. High-resolution DOA estimation by algebraic phase unwrapping algorithm, IEEE ISCAS2005 -- Special Session on Multidimensional Systems and Signal Processing, Proceedings of IEEE ISCAS2005, pp. CD-ROM, May 2005.
• Toshiyuki Ono, Hiroshi Hasegawa, Isao Yamada, Kohichi Sakaniwa. An adaptive super-resolution of videos with noise information on camera systems, IEEE ICASSP 2005, Proceedings of IEEE ICASSP 2005, pp. CD-ROM, Mar. 2005.
• Masahiro Yukawa, Renato L. G. Cavalcante, Isao Yamada. Efficient Adaptive Blind MAI Suppression in DS/CDMA by Embedded Constraint Parallel Projection Techniques, IEEE ICASSP 2005, Proceedings of IEEE ICASSP 2005, pp. CD-ROM, Mar. 2005.
• Ryota Sasahara, Hiroshi Hasegawa, Isao Yamada, Kohichi Sakaniwa. A Color Super-Resolution with Multiple Nonsmooth Constraints by Hybrid Steepest Descent Method, IEEE ICIP 2005, Proceedings of IEEE ICIP 2005, pp. CD-ROM, Sept. 2005.
• Masahiro Yukawa, Noriaki Murakoshi, Isao Yamada. An Efficient Fast Stereo Echo Canceler by Pairwise Optimal Weight Realization Technique, 2005 EUSIPCO (European Signal Processing Conference), Proceedings of EUSIPCO 2005, pp. CD-ROM, Sept. 2005.
• Masahiro Yukawa, Konstantinos Slavakis, Isao Yamada. Stereo Echo Canceler by Adaptive Projected Subgradient Method with Multiple Room-Acoustics Information, 2005 IWAENC (International Workshop on Acoustic Echo and Noise Control), Proceedings of 2005 IWAENC, pp. CD-ROM, Sept. 2005.
• Keita Kume, ISAO YAMADA. Cayley parametrization strategy for optimization over the Stiefel manifold, 10th International Congress on Industrial and Applied Mathematics (ICIAM 2023), Aug. 2023.
• Isao Yamada. Fixed point strategies for nonconvexly regularized sparse estimation and hierarchical convex optimization, Inverse Problems on Large Scales at RICAM-Johann Radon Institute for Computational and Applied Mathematics, Nov. 2022.
• Isao Yamada, Wataru Yata, Masao Yamagishi. A constrained LiGME model for sparsity-rank aware inverse problems, 2022 SIAM Conference on Imaging Science - Minisymposium Session: Advanced Nonlinear Analysis Tools in Image Recovery, Mar. 2022.
• Isao Yamada, Wataru Yata, Masao Yamagishi. A constrained LiGME model for sparsity-rank aware least squares estimation problems, A workshop on optimization and operator theory dedicated to Prof. Lev Bregman, Nov. 2021.
• Isao Yamada, Masao Yamagishi. A pair of fixed point strategies with proximal splitting operators for unified applications to certain inverse problems in data science., Joint Mathematics Meetings (AMS Special Session on "Interactions of Inverse Problems, Computational Harmonic Analysis, and Imaging"), Jan. 2021.
• Isao Yamada, Masao Yamagishi. Global optimization of sum of convex and nonconvex functions with proximal splitting techniques, ICCOPT 2019, Aug. 2019.
• ISAO YAMADA, Jiro Abe, Masao Yamagishi. A Proximal Splitting Algorithm for Linearly Involved Generalized Minimax Concave Penalty Models, Flatiron Institute workshop on Operator Splitting in Data Analysis, Mar. 2019.
• ISAO YAMADA, Riku Akema, Masao Yamagishi. An Approximate Simultaneous Matrix-Diagonalization via Alternating Projection, Numerical Algorithms for Nonsmooth Optimization, Feb. 2019.
• Isao Yamada, Masao Yamagishi. Hierarchical Convex Optimization with Proximal Splitting Operators, Splitting Algorithms, Modern Operator Theory, and Applications, Sept. 2018.
• Isao Yamada, Masao Yamagishi. Hierarchical Convex Optimization with Proximal Splitting Operators - Application to Support Vector Machine, SAMSI Workshop - Operator Splitting Methods in Data Analysis, Mar. 2018.
• Isao Yamada. Spicing up Convex Optimization for Certain Inverse Problems, Workshop on Optimization in Image Processing, June 2016.
• Isao Yamada. Two spices of convex optimiztaion for certain inverse problems, The 4th International Workshop on Mathematical Issues in Information Sciences (MIIS 2015), July 2015.
• Isao Yamada. Hierarchical Optimizations for Certain Inverse Problems in Image and Signal Processing, Tsinghua Sanya International Mathematics Forum (TSIMF) on Structured Preconditioning and Iterative Methods with Applications, Abstracts of Tsinghua Sanya International Mathematics Forum (TSIMF) on Structured Preconditioning and Iterative Methods with Applications, Mar. 2014.
• ISAO YAMADA. Algorithmic solutions to certain hierarchical optimization problems in image and signal processing, First Workshop on Optimization for Image and Signal Processing, Nov. 2013.  公式リンク  
  
• Isao Yamada. Convex Optimization and Signal Processing Using Fixed-Point Characterizations of Closed Convex Sets, RIKEN Mathematical Sciences Workshop in Kamisuwa, Sept. 2010.  公式リンク  
  
• Isao YAMADA. Fixed-Point Approximations of Certain Quasi-Nonexpansive Mappings and Their Signal Processing Applications, Special Workshop on Optimization Theory and Related Topics, Technion – Israel Institute of Technology & the University of Haifa, Israel (11-14, Jan., 2010), Invited, Jan. 2010.  公式リンク  
  
• Isao YAMADA, Masahiro Yukawa. Minimizing the Moreau envelope of nonsmooth convex function over the fixed point set of certain quasi-nonexpansive mappings, Interdisciplinary Workshop on Fixed-Point Algorithms in Science and Engineering, http://www.math.udel.edu/~rluke/work/BIRS/ABS_collected.pdf, Nov. 2009.  公式リンク  
  
• Isao YAMADA. Signal Processing Applications of a Pair of Simple Fixed Point Algorithms (Invited), Approximation and Optimization in Image Restoration and Reconstruction, Ile de Porquerolles, France, June 2009.
• ISAO YAMADA, Tomasz Piotrowski. Minimum-Variance Pseudo-Unbiased Reduced-Rank Estimator and Its Applications, "Special Session on Nonsmooth Analysis in Inverse and Variational Problems" 115th Annual Meeting of the American Mathematical Society (AMS), Washington, DC, January 5 - 8, 2009., Jan. 2009.
• ISAO YAMADA. Hierarchical Nonconvex Constrained Optimization and Its Signal Processing Applications, Workshop: Advances in Mathematical Modeling and Computational Algorithms in Information Processing @ The Institute of Statistical Mathematics (Tokyo) (November 1, 2008), Nov. 2008.
• Sergios THEODORIDIS, Konstantinos SLAVAKIS, Isao YAMADA. Adaptive Processing in a World of Projection (Plenary Lecture), 2008 IEEE International Workshop on Machine Learning for Signal Processing (MLSP) Workshop, Cancun: Mexico, October 16-19, 2008, Oct. 2008.  公式リンク  
  
• ISAO YAMADA, Tomasz Piotrowski, Masao Yamagishi. Reduced-rank extension of BLUE and deep lipschitzian gradient projector for inverse problems, IUCr2008(International Union of Crystallography - Micro Symposium : Real space direct method), IUCr2008 (CD-ROM of Abstract), Aug. 2008.
• ISAO YAMADA. An Invitation to Signal Processing Algorithms Based on Computational Fixed Point Theory of Quasi-nonexpansive Mapping, Proceedings of Sophia Symposium 2007 - Modern Mathematics and Its Application to Modern Technology, pp. 32-36, Feb. 2008.
• ISAO YAMADA. Hierarchical Constrained Optimization Problems and Their Signal Processing Applications, Sophia Symposium 2007 - Modern Mathematics and Its Applications to Modern Technology, Sophia Symposium 2007 - Modern Mathematics and Its Applications to Modern Technology, Nov. 2007.
• Konstantinos Slavakis, Sergios Theodridis, Isao Yamada. Online Kernel-Based Classification by Projections, IEEE ICASSP2007, Proceedings of IEEE ICASSP2007, pp. (in CD-ROM), Apr. 2007.
• Renato L. Cavalcante, Isao Yamada. Multiaccess Interference Reduction in OSTBC-MIMO Systems by Adaptive Projected Subgradient Method, IEEE ICASSP2007, Proceedings of IEEE ICASSP2007, pp. (in CD-ROM), Apr. 2007.
• Masahiro Yukawa, Isao Yamada. Adaptive Parallel Variable-Metric Projection Algorithm --- An Application to Acoustic Echo Cancelletion, IEEE ICASSP2007, Proceedings of IEEE ICASSP2007, pp. (in CD-ROM), Apr. 2007.
• Masahiro YUKAWA, Isao YAMADA. Adaptive quadratic-metric parallel subgradient projection algorithm and its application to acoustic echo cancellation, EUSIPCO 2006, Proceedings of EUSIPCO 2006, pp. (in CD-ROM), Sept. 2006.
• Nicolas QUINQUIS, Isao YAMADA, Kohichi SAKANIWA. Efficient Dual Cayley Parametrization Technique for ICA with Orthogonality Constraints, 2006 ICA Research Network Workshop, Proceedings of 2006 ICA Research Network International Workshop, pp. 123-126, Sept. 2006.
• Isao YAMADA, Konstantinos SLAVAKIS, Masahiro YUKAWA, Renato L.G. Cavalcante. Adaptive projected subgradient method and its robust signal processing applications, (Special Session --- Set Membership Filtering and Its Applications : organized by Yih-Fang Huang) 2006 IEEE International Symposium on Circuits and Systems, Proceedings of IEEE ISCAS2006, Vol. (in CD-ROM), May 2006.
• Noriyuki TAKAHASHI, Masahiro YUKAWA, Isao YAMADA. An Efficient Heuristic Approach to Infeasible Downlink Power Control Probelm, IEEE ICASSP2006, Proceedings of IEEE ICASSP2006, Vol. (in CD-ROM), May 2006.
• Masahiro YUKAWA, Isao YAMADA. Adaptive Beamforming by Constrained Parallel Projection in the Presence of Spatially-Correlated Interferences, IEEE ICASSP2006, Proceedings of IEEE ICASSP2006, Vol. (in CD-ROM), May 2006.
• Renato L. G. CAVALCANTE, Isao YAMADA. Steady-state Performance of Constrained Normalized Adaptive Filters for CDMA Systems, IEEE ICASSP2006, Proceedings of IEEE ICASSP2006, Vol. (in CD-ROM), May 2006.
• Konstantinos SLAVAKIS, Masahiro YUKAWA, Isao YAMADA. Robust Capon Beamforming by the Adaptive Projected Subgradient Method, IEEE ICASSP2006, Proceedings of IEEE ICASSP2006, Vol. (in CD-ROM), May 2006.
• Isao YAMADA, Jamal ELBADRAOUI. Minimum-Variance Pseudo-Unbiased Low-Rank Estimator for Ill-Conditioned Inverse Problems, IEEE ICASSP2006, Proceedings of IEEE ICASSP2006, Vol. (in CD-ROM), May 2006.
• Isao Yamada, Kazuhiro Oguchi. Symbolic Computation of DOA Distribution by Algebraic Phase Unwrapping Algorithm, 7th Asian Symposium on Computer Mathematics (ASCM 2005), Proceedings of the 7th Asian Symposium on Computer Mathematics (ASCM 2005), pp. 189-192, Dec. 2005.

国内会議発表 (査読なし・不明)

• 松尾祥汰, 山田功. ある種の一般化Nash均衡集合上で定義された均衡問題に関する一考察, 日本応用数理学会第20回研究部会連合発表会, 日本応用数理学会第20回研究部会連合発表会WEB要旨集, Mar. 2024.
• 村上侑哉, 矢田航, 久米啓太, 山田功. 重複を許した分割信号のスパース表現を活かしたcLiGME型雑音除去, 信号処理シンポジウム, Nov. 2023.
• Wataru Yata, Isao Yamada. A unified treatment of two types of convex constraints applicable in the cLiGME model, 第38回信号処理シンポジウム, Proceedings of IEICE Signal Processing Symposium 2023, Nov. 2023.
• Keita Kume, Isao Yamada. A variable smoothing algorithm for nonsmooth optimization with parameterizable nonconvex constraints, Proceedings of IEICE Signal Processing Symposium 2023, Nov. 2023.
• Keita Kume, ISAO YAMADA. A variable smoothing with parametrization for nonconvexly constrained nonsmooth optimization, 日本オペレーションズ・リサーチ学会 2023年秋季研究発表会＆シンポジウム, 日本オペレーションズ・リサーチ学会 2023年秋季研究発表会アブストラクト集, Sept. 2023.
• 久米啓太, 山田功. 動的Cayleyパラメータ表現によるStiefel多様体上最適化について, 信号処理研究会, 信学技報, IEICE, vol. 123, no. 152, p. 20, Aug. 2023.  公式リンク  
  
• Keita Kume, ISAO YAMADA. On convergence of certain Armijo-type optimization algorithms with generalized Cayley parametrization, 高次元・時空間ニューロダイナミクスとそれに基づくシステム構築への展開, Jan. 2023.
• Yi Zhang, Isao Yamada. A Debiased Sparseness-Promoting Affine Projection Algorithm Based on Nonconvex Proximal Gradient Method, 第37回信号処理シンポジウム, 第37回信号処理シンポジウム講演論文集, Dec. 2022.
• Keita Kume, Isao Yamada. A Conjugate Gradient-type Algorithm with Adaptive Localized Cayley Parametrization for Optimization over Stiefel Manifold, 第37回信号処理シンポジウム, Proceedings of IEICE Signal Processing Symposium 2022, Dec. 2022.
• Yang Chen, Masao Yamagishi, Isao Yamada. A Simple Design of Generalized Moreau Enhancement Matrix for LiGME Models, 第37回信号処理シンポジウム, 第37回信号処理シンポジウム講演論文集, Dec. 2022.
• 久米啓太, 山田功. 一般化 Cayley 変換による動的パラメータ表現法に基づく直交制約付き最適化アルゴリズムのための統一的収束解析, 日本オペレーションズ・リサーチ学会 2022年秋季研究発表会＆シンポジウム, 日本オペレーションズ・リサーチ学会 2022年秋季研究発表会アブストラクト集, Sept. 2022.
• Keita Kume, Isao Yamada. A unified extension of convergence analyses to optimization with Cayley transform over Stiefel manifold, 日本応用数理学会 2022年研究部会連合発表会(行列・固有値問題の解法とその応用), Mar. 2022.
• Keita Kume, ISAO YAMADA. Cayley Parametrization Techniques for Optimization over the Stiefel manifold, 高次元・時空間ニューロダイナミクスとそれに基づくシステム構築への展開, Mar. 2022.
• 内山 翔馬, 山岸 昌夫, 山田 功. 核ノルムのLiGME正則化を用いたテンソル補完に関する一考察, 第36回信号処理シンポジウム, 第36回信号処理シンポジウム講演論文集, 電子情報通信学会, Nov. 2021.
• Keita Kume, Isao Yamada. Computational Tools toward Cayley Parametrization Strategy for Optimization with Generalized Orthogonality Constraints, Proceedings of IEICE Signal Processing Symposium 2021, 第36回信号処理シンポジウム講演論文集, 電子情報通信学会, Nov. 2021.
• Yi Zhang, ISAO YAMADA. A DC-programming based Fast Iterative Algorithm for Generalized Moreau Enhanced Models, 第36回信号処理シンポジウム, 第36回信号処理シンポジウム講演論文集, 電子情報通信学会, Nov. 2021.
• Riku Akema, Masao Yamagishi, IsaoYamada. Approximate-Then-Diagonalize-Simultaneously Algorithm and Tensor CP Decomposition, 第33回 回路とシステムワークショップ (電子情報通信学会), 2021.
• Keita Kume, Isao Yamada. A Global Cayley Parametrization of Stiefel Manifold for Direct Importing Optimization Mechanisms over Vector Space, IEICE Signal Processing Symposium 2020, Proceedings of IEICE Signal Processing Symposium 2020, in USB, Nov. 2020.
• 久米啓太, 山田功. Adaptive Localized Cayley Parametrizationを利用したStiefel多様体制約付き確率的勾配分散縮小法, 2020年電子情報通信学会総合大会, 2020年電子情報通信学会総合大会 情報・システムソサイエティ特別企画学生ポスターセッション予稿集, Mar. 2020.
• 農宗弘貴, 山岸昌夫, 山田功. 宛先ポート行列の低ランク性を用いたポートスキャン検出法, 信号処理研究会(電子情報通信学会), Feb. 2020.
• 山田功, 安倍 次朗, 山岸昌夫. スパース信号処理のためのLinearly involved Generalized Moreau Enhanced モデルと大域的最適解への収束保証付きアルゴリズムについて, 東北大学電気通信研究所共同プロジェクト研究研究会：高次元ニューロダイナミクスとそのニューロハードウエア構築への展開, Dec. 2019.
• 山田功. 「工学の問題解決にめちゃくちゃ役に立つ数学」を自分でつくっちゃう話, 広島県の高校生のための講演会, Dec. 2019.
• 山田功. 最適化数理と不動点理論の融合によって生まれた新世代の信号処理アルゴリズムについて, 2019年第10回IEEE東京支部講演会, Dec. 2019.
• 山田功, 溝口毅彦. Cayley-Dickson数体系における線形代数的特徴量の新しい解釈法と超複素テンソル補完問題への応用, 日本応用数理学会「行列・固有値問題の解法とその応用」研究集会, Dec. 2019.
• Yunosuke Nakayama, Masao Yamagishi, Isao Yamada. What is the Ideal Extension of SVM for Multiclass Classification ?, 第34回信号処理シンポジウム, 第34回信号処理シンポジウム予稿集, in USB, Nov. 2019.
• Riku Akema, Masao Yamagishi, Isao Yamada. Commutativity-Based Strategies for Reducing Canonical Decomposition to Approximate Simultaneous Diagonalization, 第34回信号処理シンポジウム, 第34回信号処理シンポジウム予稿集, in USB, Nov. 2019.
• 山田功. 急速に進化し続ける現代の信号処理アルゴリズム -- 基礎研究最前線, FTR最先端センシングテクノロジーセミナー 2019, Nov. 2019.
• 山田功. 信号処理屋から見たいくつかの普遍的な数値解析的課題と新解法のアイディアについて, 国立情報学研究所ランチセミナー, Aug. 2019.
• 山田功. 階層構造を持つ凸最適化とデータサイエンスへの応用について, 滋賀大学データサイエンス教育研究センター・リスク研究センター共催セミナー, May 2018.
• Riku Akema, Masao Yamagishi, ISAO YAMADA. Non-iterative Joint Diagonalizations with A High Dimensional Eigenvalue Problem, 32nd IEICE SIP SYMPOSIUM, 第32回 信号処理シンポジウム 講演論文集, (in USB memory), Nov. 2017.
• 金田新, 山岸昌夫, 山田 功. 入力分布の変動に頑健なスパースカーネル適応フィルタ, 第32回 信号処理シンポジウム, 第32回 信号処理シンポジウム 講演論文集, Nov. 2017.
• Takehiko Mizoguchi, Isao Yamada. A real domain computation for hypercomplex singular value decompositions and its application to tensor recovery, 32nd IEICE SIP SYMPOSIUM, 第32回 信号処理シンポジウム講演論文集, (in USB), Nov. 2017.
• 遠藤雅也, 山岸 昌夫, 山田 功. 拡大 OD フロー行列の列方向平滑基準を活用した異常通信検出法, 第３２回信号処理シンポジウム, 第３２回信号処理シンポジウム講演論文集, (in USB memory), Nov. 2017.
• Hiroki Kuroda, Masao Yamagishi, ISAO YAMADA. Alternating Minimization Approach for Identification of Hammerstein Systems with Discontinuous Nonlinearities, 32nd IEICE SIP SYMPOSIUM, 第32回 信号処理シンポジウム 講演論文集, Nov. 2017.
• JEONG KWANGJIN, Masahiro Yukawa, Masao Yamagishi, Isao Yamada. A Time-Averaging Approach to Automatic Shrinkage Tuning Under Colored Signals for Sparsity-Aware Adaptive Filtering, 32nd IEICE SIP SYMPOSIUM, 第32回 信号処理シンポジウム 講演論文集, (in USB memory), Nov. 2017.
• Kengo Uchida, ISAO YAMADA. A Promoting Sparsity of Adaptive Generalized Eigenvector Estimation, 32nd IEICE SIP SYMPOSIUM, 第32回 信号処理シンポジウム 講演論文集, (in USB memory), Nov. 2017.
• 遠藤雅也, 山岸昌夫, 山田功. ODフロー行列のグループスパース性を用いたDDoS攻撃検出法, 電子情報通信学会信号処理研究会, 信学技法, SIP2017, pp.21-26, Aug. 2017.
• Kwangjin Jeong, Masahiro Yukawa, Masao Yamagishi, Isao Yamada. A Simple Self-Tuning Technique for Adaptive Proximal Forward-Backward Splitting, IEICE Technical Workshop on Signal Processing, IEICE Technical Report, Mar. 2017.
• Masao Yamagishi, Isao Yamada. Global convergence of a parallel projection method for certain nonconvex feasibility problems, Proceedings of IEICE SIP Symposium, Nov. 2016.
• Hiroki Kuroda, Masao Yamagishi, Isao Yamada. A design of convex regularizer for sparsity-aware recovery of certain piecewise continuous signals, Proceedings of IEICE SIP Symposium, Nov. 2016.
• 森 和也, 北原 大地, 山岸昌夫, 山田 功. Huber損失関数を用いたロバストな三重位相差型GPS, 第31回信号処理シンポジウム講演論文集, Nov. 2016.
• Kenji Kakimoto, Masao Yamagishi, Isao Yamada. A Best Upper Bound of the Condition Number with Trace Constraints and Its Application to Subspace Tracking, Proceedings of IEICE SIP Symposium, Nov. 2016.
• Daichi Kitahara, Isao Yamada. A Branch Cut Type Sign Estimator for Single-Frame Fringe Projection Profilometry, 31st IEICE SIP Symposium, Proceedings of IEICE SIP Symposium, Nov. 2016., Nov. 2016.
• 山田功. 逆問題のための情報表現と凸最適化に関する２つの話題, 東北大学電気通信研究所共同プロジェクト研究会 「高次元ニューラルネットワークにおける情報表現の最適化」, Sept. 2016.
• 山田功. 非拡大写像の不動点表現が拓いた凸最適化と信号処理の進化について, ものづくり企業に役立つ応用数理手法の研究会 第11回技術セミナー (応用数理学会), Apr. 2016.
• Kenji Kakimoto, Daichi Kitahara, Masao Yamagishi, ISAO YAMADA. On a Projection Step by Generalized Orthogonal Complement Matrices for Adaptive Subspace Tracking, Proceedings of IEICE SIP Symposium, Nov. 2015.
• Masao Yamagishi, Masahiro Yukawa, ISAO YAMADA. Shrinkage tuning based on a system-mismatch estimation for the sparsity-aware adaptive proximal forward-backward splitting, Proceedings of IEICE SIP Symposium, Nov. 2015.
• Tomonori Fujiwara, Masao Yamagishi, ISAO YAMADA. Alternating Projection for Low-Rank and Nonnegative Matrices and its Application to Supervised NMF, Proceedings of IEICE SIP Symposium, Nov. 2015.
• Keiji Furuya, Masahiro Yukawa, Masao Yamagishi, ISAO YAMADA. RIP Conditions for Exact Recovery of Group-Sparse Vectors under Two Sets of Non-Overlapping Groups, IEICE Technical Workshop on Signal Processing, IEICE Technical Report, Mar. 2015.
• Daichi KITAHARA, Masao YAMAGISHI, Isao YAMADA. A Preprocessing Using Convex Optimization for Algebraic Two-Dimensional Phase Unwrapping, IEICE SIP Symposium 2014, Proceedings of IEICE SIP Symposium, pp. 369-374, Nov. 2014.
• 山田功. 凸最適化アルゴリズムと信号処理への応用に関する最近の話題, 2014 RIMS 共同研究：ウェーブレット解析とサンプリング理論, 京都大学数理解析研究所, Nov. 2014.
• Daichi KITAHARA, Isao YAMADA. One-Dimensional Probability Density Function Estimation by Positive Quartic C^2-Spline Interpolation and Smoothing, IEICE SIP Sympojium 2014, Proceedings of IEICE SIP Symposium 2014, IEICE, pp. 462-467, Nov. 2014.
• Masao YAMAGISHI, Isao YAMADA. A novel fixed point characterization of minimizers of convex functions involving proximable and linear composite terms, IEICE SIP Symposium 2014, Proceedings of IEICE SIP Symposium 2014, IEICE, pp. 450-453, Nov. 2014.
• Tomonori FUJIWARA, Masao YAMAGISHI, Isao YAMADA. Reduced Rank Modeling for Time-Varying Spectral Pattern with Automatic Rank Selection for Supervised NMF, IEICE SIP Symposium 2014, Proceedings of IEICE SIP Symposium, IEICE, pp. 182-186, Nov. 2014.
• Naoki TOMIDA, Masao YAMAGISHI, Isao YAMADA, Toshihisa TANAKA. Multi-Class Classification for Motor-Imagery EEG Signals with A Reduced Rank Estimation Technique, IEICE SIP Sympojium 2014, Proceedings of IEICE SIP Sympojium, IEICE, pp. 114-115, Nov. 2014.
• Masao YAMAGISHI, Daichi KITAHARA, Isao YAMADA. A fast Gauss-Seidel-like splitting algorithm for convexly constrained spline smoothing, IEICE SIP Symposium 2014, Proceedings of IEICE SIP Symposium, IEICE, pp. 64-67, Nov. 2014.
• Shunsuke Ono, Isao Yamada. A Constrained Use of Total Generalized Variation, IEICE SIP Symposium 2014, Proceedings of IEICE SIP Symposium 2014, IEICE, pp. 48-52, Nov. 2014.
• Katsuhiro TOYOKAWA, Shunsuke ONO, Masao YAMAGISHI, Isao YAMADA. Reflection Edge Detection from a Single Image and Its Applications, IEICE SIP Symposium 2014, Proceedings of IEICE SIP Symposium, IEICE, pp. 42-47, Nov. 2014.
• Shunsuke Ono, Isao Yamada. Decorrelated Vectorial Total Variation (Invited talk from CVPR2014 papers), MIRU2014, No proceedings, July 2014.
• 溝口毅彦, 山田功. Cayley-Dickson 線形システムのための実同型変換と超複素オンライン学習への応用, 第５回 コンピューテーショナル・インテリジェンス研究会(計測自動制御学会(SICE)), 第５回 コンピューテーショナル・インテリジェンス 研究会資料, 計測自動制御学会, July 2014.
• 小野 峻佑, 山岸昌夫, 山田 功. 画像解析・処理のための凸最適化 ? 核ノルムの応用事例を中心として ?, 電子情報通信学会 パターン認識・メディア理解研究会（PRMU）, 電子情報通信学会技術研究報告, vol. 113, no. 431, pp. 147-147, Feb. 2014.
• Katsuhiro Toyokawa, Shunsuke Ono, Masao Yamagishi, Isao Yamada. Detecting Reflection Edges from a Single Image via Redundant Color Information, IEICE SIP Symposium 2013, Proceedings of IEICE SIP Symposium 2013, Nov. 2013.
• Shunsuke Ono, Isao Yamada. Vectorial Total Variation in Decorrelated Color Space, IEICE SIP Symposium 2013, Proceedings of IEICE SIP Symposium 2013, Nov. 2013.
• Shunsuke Ono, Isao Yamada. Simultaneous Decompression and Enlargement of JPEG Images Using Total Generalized Variation, IEICE SIP Symposium 2013, Proceedings of IEICE SIP Symposium 2013, Nov. 2013.
• Daichi Kitahara, Isao Yamada. Algebraic Phase Unwrapping over Collection of Triangles and Its Application, IEICE SIP Symposium 2013, Proceedings of IEICE SIP Symposium 2013, IEICE, In CD-ROM, Nov. 2013.
• Naoki Tomida, Masao Yamagishi, Isao Yamada, Toshihisa Tanaka. A Reduced Rank Estimation of Covariance Matrices for EEG Classification, IEICE SIP Symposium 2013, Proceedings of IEICE SIP Symposium 2013, Nov. 2013.
• Hiroki Kuroda, Masao Yamagishi, Isao Yamada. A Robust Adaptive Learning of Saturation Nonlinearity in Acoustic Echo Cancellation, IEICE SIP Symposium 2013, Proceedings of IEICE SIP Symposium 2013, Nov. 2013.
• Masao Yamagishi, Masahiro Yukawa, Isao Yamada. Shrinkage tuning based on an unbiased MSE estimate for the sparsity-aware adaptive proximal forward-backward splitting, IEICE SIP Symposium 2013, Proceedings of IEICE SIP Symposium 2013, Nov. 2013.
• 小野 峻佑, 山田 功. 局所的色線形性に基づくPrior, 2013年映像メディア処理シンポジウム, 第18回映像メディア処理シンポジウム予稿集, Nov. 2013.
• Wemer M. Wee, Isao Yamada. On the Tracking Performance of Adaptive Filters with Data and Error Nonlinearities, IEICE SIP Symposium 2013, Proceedings of IEICE SIP Symposium 2013, IEICE, In CD-ROM, Nov. 2013.
• Shunsuke Ono, Isao Yamada. SIP2013-67,  Overlapped Local Color Nuclear Norm and Its Constrained Use, IEICE Technical Workshop on Signal Processing, IEICE Technical Report, Vol. 113, No. 191, pp. 13-16, Aug. 2013.
• Shunsuke Ono, Isao Yamada. A Convex Regularizer for Reducing Color Artifact in Color Image Recovery (Invited talk from CVPR2013 papers), MIRU2013, No proceedings, July 2013.
• Shunsuke Ono, Isao Yamada. SIP2013-28,  Blockwise Low-Rank Prior for Cartoon-Texture Image Decomposition, IEICE Technical Workshop on Signal Processing, IEICE Technical Report, Vol. 113, No. 27, pp. 163-168, May 2013.
• Katsuhiro Toyokawa, Shunsuke Ono, Masao Yamagishi, Isao Yamada. Detecting Reflection from Single Image Based on Nuclear Norm Minimization, IEICE Technical Workshop on Signal Processing, IEICE Technical Report, IEICE, Vol. 113, No. 26, pp. 169-173, May 2013.
• Yuta Tawara, Osamu Toda, Masahiro Yukawa, Isao Yamada. Sparse System Identification by Adaptive Proximal Forward-Backward Splitting Algorithm: Approximated l_p-Regularizer and Variable Regularization Parameter, IEICE SIP Symposium 2012, Proceedings of IEICE SIP SYmposium 2012, Nov. 2012.
• 山岸昌夫, 福田直登, 山田功. 適応射影劣勾配法を用いた能動騒音制御システムに関する一考察, IEICE SIP Symposium 2012, Nov. 2012.
• Masao Yamagishi, Shunsuke Ono, Isao Yamada. Variants of the Alternating Direction Method of Multipliers with Rate of Convergence $\mathcal{O}(1/k)$, IEICE SIP Symposium 2012, Nov. 2012.
• Takehiko Mizoguchi, Masao Yamagishi, ISAO YAMADA. Adaptive Projected Subgradient Method for Expanded Real Systems, IEICE SIP Symposium 2012, Nov. 2012.
• Masao Yamagishi, ISAO YAMADA. An Image Restoration by the MV-PURE with SURE Based Rank Selection, Proceedings of IEICE SIP Symposium 2012, Nov. 2012.
• Shunsuke Ono, Isao Yamada. A Likelihood Constrained Poissonian Image Recovery via The Hybrid Steepest Descent Method, IEICE SIP Symposium 2012, Proceedings of IEICE SIP Symposium 2012, Nov. 2012.
• Shunsuke Ono, Masao Yamagishi, Isao Yamada. An Adaptive Filtering Based on A Primal-Dual Splitting Characterization, IEICE SIP Symposium 2012, Proceedings of IEICE SIP Symposium 2012, Nov. 2012.
• Daichi KITAHARA, Isao YAMADA. A Stabilization of Algebraic Phase Unwrapping by Subresultant, IEICE SIP Symposium 2012, Nov. 2012.
• Wemer M. Wee, Isao Yamada. Sparse Distributed Estimation in Diffusion Adaptive Networks by Proximal Forward-Backward Splitting, IEICE SIP Symposium 2012, Proceedings of IEICE SIP Symposium 2012, Nov. 2012.
• 小野峻佑, 宮田高道, 山田功. ブロック核ノルムの提案とその画像処理応用, 2012年映像メディア処理シンポジウム, 第17回映像メディア処理シンポジウム予稿集, Oct. 2012.
• 小野峻佑, 山田功. 階層型凸最適化による画像復元法, 2012年映像メディア処理シンポジウム, 第17回映像メディア処理シンポジウム予稿集, Oct. 2012.
• Shunsuke Ono, Isao Yamada. Image Recovery by Hierarchical Convex Optimization, IEICE Society Conference 2012, Proceedings of IEICE Society Conference 2012, Sept. 2012.
• Masao Yamagishi, Shunsuke Ono, Isao Yamada. SIP2011-135,  Three variants of alternating direction method of multipliers without certain inner iterations and their application to image super-resolution via sparse representation, IEICE Technical Workshop on Signal Processing, IEICE Technical Report, IEICE, vol. 111, no. 466, pp. 49-54, Mar. 2012.
• Shunsuke Ono, Takamichi Miyata, Isao Yamada. SIP2011-135,  A Visually Better Recovered Image Selection for Imaging Inverse Problems, IEICE Technical Workshop on Signal Processing, IEICE Technical Report, IEICE, vol. 111, no. 466, pp. 7-12, Mar. 2012.
• Shunsuke Ono, Takamichi Miyata, Isao Yamada, Katsunori Yamaoka. Blockwise Low-Rankness Based Optimization for Missing Region Recovery, IEICE SIP Symposium 2011, Proceedings of IEICE SIP Symposium 2011, Nov. 2011.
• Masahiro Yukawa, Yuta Tahara, Masao Yamagishi, Isao Yamada. Sparse Adaptive Filters Based on Soft-Thresholding with Lp-Norm Inspired Weighting Techniques, IEICE SIP Sympojium 2011, Proceedings of IEICE SIP Symposium 2011, Nov. 2011.
• 山本誉之, 山岸昌夫, 山田功. L1ノルムのMoreau envelopeを用いたスパースシステムの適応同定法に関する一考察, IEICE SIP Sympojium 2011, Proceedings of IEICE SIP Symposium 2011, Nov. 2011.
• Nguyen Tuan Duong, Isao Yamada. An exact convergence analysis of the modified PAST algorithm for estimating minor component, IEICE SIP Symposium 2011, Proceedings of IEICE SIP Symposium 2011, Nov. 2011.
• Daichi Kitahara, Isao Yamada. A Stable Sign Estimation for Algebraic Phase Unwarraping, IEICE SIP Symposium 2011, Proceedings of IEICE SIP Symposium 2011, Nov. 2011.
• 小野峻佑, 宮田高道, 山田功, 山岡克式. 複数の先験情報を利用した3成分分離型画像復元法, 映像メディア処理シンポジウム2011, 第16回映像メディア処理シンポジウム予稿集, Oct. 2011.
• Masahiro Yukawa, Isao Yamada. Fast and efficient interference suppression by uniform linear array based on dual-domain adaptive filtering technique, IEICE Technical Workshop on Signal Processing, IEICE Technical Report, IEICE, Mar. 2011.
• Tuan-Duong Nguyen, Noriyuki Takahashi, Isao Yamada. Dimensional Reduction Techniques for Adaptive Generalized Minor Subspace Estimation, IEICE Technical Workshop on Signal Processing, IEICE Technical Report, IEICE, Mar. 2011.
• 島村信嗣, 山岸昌夫, 山田功. 低階数最小分散擬似不偏推定法のランク選択規準と悪条件逆問題への応用, 電子情報通信学会信号処理研究会, IEICE Technical Report, IEICE, Mar. 2011.
• Masao Yamagishi, Isao Yamada. Two improvements of the fast iterative shrinkage/thresholding algorithm — Overrelaxation and weak convergence, IEICE Technical Workshop on Signal Processing, IEICE Technical Report, IEICE, Mar. 2011.
• Silvia Gandy, Isao Yamada. Generalizing the multiple measurement setting from sparse vector recovery to low-rank matrix recovery, IEICE Technical Workshop on Signal Processing, IEICE Technical Report, Jan. 2011.
• Masahiro Yukawa, Isao Yamada. A Note on Adaptive Projected Subgradient Method Under Linear Constraints, IEICE SIP Symposium 2010, Proceedings of IEICE SIP Symposium 2010, in CD-ROM, Nov. 2010.  公式リンク  
  
• Shinji Shimamura, Noriyuki Takahashi, Isao Yamada. Relaxation of Ill-Posedness for Estimating Noisy Autoregressive Models, IEICE SIP Symposium 2010, Proceedings of IEICE SIP Symposium 2010, in CD-ROM, Nov. 2010.  公式リンク  
  
• Nam Tran LE, Noriyuki Takahashi, Isao Yamada. A Statistical Characterization of Carrier Frequency Offset and Timing Offset in OFDM Systems, IEICE SIP Symposium 2010, Proceedings of IEICE SIP Symposium 2010, in CD-ROM, Nov. 2010.  公式リンク  
  
• Masao Yamagishi, Isao Yamada. Improvement of Halftone Visibility by Convex Optimization Techniques, IEICE SIP Symposium 2010, Proceedings of IEICE SIP Symposium 2010, in CD-ROM, Nov. 2010.  公式リンク  
  
• Silvia Gandy, Isao Yamada. Douglas-Rachford splitting-type algorithms for Tensor Completion and Principal Component Pursuit, IEICE SIP Symposium 2010, Proceedings of IEICE SIP Symposium 2010, in CD-ROM, Nov. 2010.  公式リンク  
  
• Masao Yamagishi, Masahiro Yukawa, Isao Yamada. Acceleration of adaptive proximal forward-backward splitting method for sparse system identification, IEICE SIP Symposium 2010, Proceedings of IEICE SIP Symposium 2010, IEICE, Nov. 2010.
• 湯川 正裕, 山田功. Set-Theoretic 適応フィルタにおける複数計量利用のための直積空間での定式化について, 電子情報通信学会技術研究報告. CAS, 回路とシステム, 一般社団法人電子情報通信学会, Vol. 110, No. 86, pp. 157-162, June 2010.
• 山田功. 閉凸集合の不動点表現を用いた最適化アルゴリズムと信号処理 (チュートリアル講演), 第39回数値解析シンポジウム-NAS2010 (鳥羽シーサイドホテル), May 2010.
• Tuan Duong Nguyen, Noriyuki Takahashi, Isao Yamada. Numerically stable algorithms for adaptive generalized minor subspace extraction, IEICE Technical Workshop on Signal Processing, IEICE Technical Report, vol. 109, no. 435, pp. 141-146, Mar. 2010.
• Masahiro Yukawa, Isao.Yamada. An Analysis for a Certain Family of Adaptive Filtering Algorithms Based on Variable-metric Adaptive Projected Subgradient Method, Proceedings of IEICE SIP Symposium 2009, IEICE, in CD-ROM, Nov. 2009.
• Silvia Gandy, Isao Yamada. Alternating minimization techniques for the recovery of low-rank matrices in the presence of sparse errors, Proceedings of IEICE SIP Symposium 2009, IEICE, in CD-ROM, Nov. 2009.
• Noriyuki Takahashi, Isao Yamada. Probability Optimization for Probabilistic Diffusion LMS Algorithms, Proceedings of IEICE SIP Symposium 2009, IEICE, in CD-ROM, Nov. 2009.
• Masao YAMAGISHI, Isao YAMADA. ISTA/FISTA-type algorithms in the presence of an additional convex constraint, Proceedings of IEICE SIP Symposium 2009, IEICE, in CD-ROM, Nov. 2009.
• Yukihiro Murakami, Masao Yamagishi, Masahiro Yukawa, Isao Yamada. Using Time-Varying Soft-Thresholding Techniques for Adaptive Identification of Sparse Systems, Proceedings of IEICE SIP Symposium 2009, IEICE, in CD-ROM, Nov. 2009.
• Masahiro Yukawa, Isao.Yamada. A New Problem Formulation of MIMO Antenna Selection: Iterative Minimization of the Moreau Envelope of l_1-norm under Nonlinear Constraints, Proceedings of IEICE SIP Symposium 2009, IEICE, in CD-ROM, Nov. 2009.
• 山田功. 階層構造を持つ最適化問題と信号処理(招待講演), 第21回RAMPシンポジウム (日本オペレーションズリサーチ学会), 第21回 RAMP シンポジウム論文集 (Research Association of Methematical Programming : RAMP), pp. 17-37, Sept. 2009.
• Tomasz Piotrowski, ISAO YAMADA. Directions for Use and Efficient Computation of the Stochastic MV-PURE Estimator, Proceedings of IEICE SIP Symposium 2008, Nov. 2008.
• 山田功. 最適化と計算代数の融合が拓く信号処理 - 過去・現在・未来への旅-(特別講演), Computer Algebra --- Design of Algorithms, Implementations and Applications, 京都大学数理解析研究所研究集会: Computer Algebra --- Design of Algorithms, Implementations and Applications, Kyoto, Nov.25-27, 2009., 京都大学数理解析研究所研究集会, Nov. 2008.  公式リンク  
  
• 山田功, Tomasz PIotrowski. 最小分散低階数擬似不偏推定法(MV-PURE)とロバスト信号処理 [チュートリアル講演], 23rd IEICE Signal Processing Symposium (Nov. 12, 2008), Nov. 2008.
• Masao Yamagishi, ISAO YAMADA. An Improvement of Subgradient Projection Operator and Its Machine Learning Application, Proceedings of IEICE SIP Symposium 2008, Nov. 2008.
• Noriyuki Takahashi, Isao Yamada. Incremental adaptive filtering over distributed networks using parallel projection onto hyperslabs, Technical Report of IEICE, Vol. 108, No. 108, pp. 17-22, June 2008.
• 仁平章, 松下卓史, 高橋則行, 山田功. 低階数最良近似行列を用いた非負行列因子逐次分解法に関する一考察, 電子情報通信学会技術研究報告, Vol. 107, No. 529, pp. 125-128, Mar. 2008.
• Masao Yamagishi, ISAO YAMADA. Efficient monotone approximation operator to convex level sets by one dimensional quadratic best lower bound, IEICE SIP Symposium 2007, Proceedings of IEICE SIP Symposium 2007, pp. in CD-ROM, Nov. 2007.
• Masaki Misono, ISAO YAMADA. Adaptive minor subspace extraction based on modified Oja-Xu MCA learning, IEICE SIP Symposium 2007, Proceedings of IEICE SIP Symposium 2007, Nov. 2007.
• ISAO YAMADA, Takahashi Noriyuki. Steady-state analysis of adaptive filtering based on projection onto hyperslab, IEICE SIP Symposium 2007, Proceedings of IEICE SIP Symposium 2007, pp. in CD-ROM, Nov. 2007.
• Tomasz Piotrowski, Renato Cavalcante, ISAO YAMADA. An Application of MV-PURE Estimator to Robust Detection Problem in Multiaccess MIMO Wireless Systems, IEICE SIP Symposium 2007, Proceedings of IEICE SIP Symposium 2007, Nov. 2007.
• Renato Cavalcante, ISAO YAMADA. OFDM Peak-to-Average Power Ratio Reduction by Adaptive Projected Subgradient Method, IEICE SIP Symposium 2007, Proceedings of IEICE SIP Symposium 2007, pp. in CD-ROM, Nov. 2007.
• Tomasz PIOTROWSKI, Isao YAMADA. Algebraic Structure of Minimum-Variance Pseudo-Unbiased Low-Rank Estimators, IEICE SIP Symposium 2006, Proceedings of IEICE SIP Symposium 2006, Vol. (in CD-ROM), Nov. 2006.
• 山田 功. 信号処理の新しい道具箱 --- 非拡大写像の不動点理論とアルゴリズム, [ナイトセッション・チュートリアル]2006年度画像符号化シンポジウム/2006年度映像メディア処理シンポジウム, 電子情報通信学会, Vol. 予稿なし, Nov. 2006.
• Noriyuki TAKAHASHI, Isao YAMADA. Hybrid Jacobi Method and Its Applications, IEICE SIP Symposium 2006, Proceedings of IEICE SIP Symposium 2006, Vol. (in CD-ROM), Nov. 2006.
• Nicolas QUINQUIS, Isao YAMADA. On learning directions for orthogonal matrix optimization in Cayley parameter space, IEICE SIP Symposium 2006, Proceedings of IEICE SIP Symposium 2006, Vol. (in CD-ROM), Nov. 2006.
• Renato L. G. CAVALCANTE, Isao YAMADA. MAI mitigation by Adaptive Projected Subgradient method in OSTBC-MIMO Systems, IEICE SIP Symposium 2006, Proceedings of IEICE SIP Symposium 2006, Vol. (in CD-ROM), Nov. 2006.
• 山田功. 信号処理と不動点最適化アルゴリズム, [チュートリアル企画：次世代信号処理を切り拓く新しい計算技法] 電子情報通信学会 ソサイエティ大会, 電子情報通信学会, Vol. (予稿なし), Sept. 2006.
• Masahiro YUKAWA, Isao YAMADA. An effective acoustic echo canceling algorithm by the adaptive projected subgradient method with a special metric, IEICE Technical Workshop on Signal Processing, Technical report of IEICE, Vol. SIP2005, No. 156, Mar. 2006.
• Renato L. G. Cavalcante, Masahiro Yukawa, Isao Yamada. Blind and Nonblind DS/CDMA Receivers by Adaptive Projected Subgradient Method, The 28th Symposium on Information Theory and Its Applications, Proceedings of SITA 2005, Vol. I of II, pp. 685-688, Nov. 2005.
• Kazuhiro Oguchi, Isao Yamada. Counting the number of DOAs in specified ranges by algebraic phase unwrapping algorithms, The 28th Symposium on Information Theory and Its Applications, Proceedings of SITA 2005, pp. CD-ROM, Nov. 2005.
• Kazuhiro Oguchi, Isao Yamada. A Symbolic Algorithm for DOA Distribution by Algebraic Phase Unwrapping Techniques, IEICE SIP Symposium 2005, Proceedings of IEICE SIP Symposium 2005, pp. CD-ROM, Nov. 2005.
• Toshiyuki Ono, Hiroshi Hasegawa, Isao Yamada, Kohichi Sakaniwa. An improvement of convergence speed and image quality of an adaptive super-resolution, IEICE SIP Symposium 2005, Proceedings of IEICE SIP Symposium 2005, pp. CD-ROM, Nov. 2005.
• Konstantinos Slavakis, Isao Yamada. Efficient Robust Capon Beamforming as a Time-Varying Convex Feasibility Problem, IEICE SIP Symposium 2005, Proceedings of IEICE SIP Symposium 2005, pp. CD-ROM, Nov. 2005.
• Hiroshi Hasegawa, Toshinori Ohtsuka, Isao Yamada, Kohichi Sakaniwa. An edge-preserving super-precision from multiple quantized images, IEICE SIP symposium 2005, Proceedings of IEICE SIP symposium 2005, pp. CD-ROM, Nov. 2005.
• Renato L. G. Cavalcante, Isao Yamada. Steady-State Analysis of Constrained Normalized-Type Adaptive Filters for CDMA Systems, IEICE SIP Symoosium 2005, Proceedings of IEICE SIP Symoosium 2005, pp. CD-ROM, Nov. 2005.
• Noriyuki Takahashi, Masahiro Yukawa, Isao Yamada. An Efficient Heuristic Adaptive Power Control for Downlink Transmission in Infeasible Scenarios, IEICE SIP Symposium 2005, Proceedings of IEICE SIP Symposium 2005, pp. CD-ROM, Nov. 2005.
• Masahiro Yukawa, Isao Yamada. An Embedded-Constraint Adaptive Beamformer in the Presence of Spatially-Correlated Interferences --- Convergence Speed of Constrained and Projected NLMS Algorithms, IEICE SIP Symposium 2005, Proceedings of IEICE SIP Symposium 2005, pp. CD-ROM, Nov. 2005.
• Masahiro Yukawa, Konstantinos Slavakis, Isao Yamada. Stereo Echo Canceler by Adaptive Projected Subgradient Method with Multiple a Priori Information, 2005 IEICE Engineering Sciences Society Conference, Proceedings of 2005 IEICE Engineering Sciences Society Conference, pp. CD-ROM, Sept. 2005.
• Konstantinos Slavakis, Masahiro Yukawa, Isao Yamada. Efficient robust adaptive beamforming by the Adaptive Projected Subgradient Method ---A set-theoretic time-varying approach over multiple a priori constraints, IEICE Technical Workshop on Signal Processing, Technical Report of IEICE, Vol. SIP2005, No. 52, pp. 13-18, July 2005.
• Konstantinos Slavakis, Isao Yamada, Nobuhiko Ogura. Theory and applications of set theoretic adaptive filtering with multiple a-priori convex constraints -- Part II: Proof of convergence theorem, IEICE Technical Workshop on Signal Processing, Technical Report of IEICE, Vol. SIP2005, No. 26, pp. 7-12, June 2005.
• Jamal Elbadraoui, Isao Yamada. Minimum-Variance Pseudo-Unbiased Low-Rank Estimation -- A Generalization of Marquardt's Estimator for Ill-Conditioned Inverse Problems, IEICE Technical Workshop on Signal Processing, Technical Report of IEICE, Vol. SIP2005, No. 6, pp. 31-36, Apr. 2005.
• Masahiro Yukawa, Isao Yamada. On optimality of POWER Weighting Technique for Adaptive Filtering, IEICE Technical Workshop on Signal Processing, Technical report of IEICE, Vol. SIP2005, No. 7, pp. 37-42, Apr. 2005.
• Masahiro Yukawa, Isao Yamada. A Note on Inflation Parameter for Adaptive Parallel Subgradient Projection Algorithms -- An Optimal Design in Case of Single Projection, IEICE Technical Workshop on Signal Processing, Technical Report of IEICE, Vol. SIP2004, No. 104, pp. 7-10, Jan. 2005.
• Konstantinos Slavakis, Isao Yamada. Theory and Applications of Set Theoretic Adaptive Filtering with Multiple A-Priori Convex Constraints, IEICE Technical Workshop on Signal Processing, Technical Report of IEICE, Vol. SIP2004, No. 105, pp. 11-16, Jan. 2005.

その他の論文・著書など

• 山田功. 工学と関数解析 - 統一的視座のありがたみ, 数理科学 - 特集：関数解析的思考法のすすめ (数理科学に表すその姿), サイエンス社, vol. 55, no. 4, pp. 49-55, Mar. 2017.
• 山田功. 非拡大写像の不動点表現が拓いた凸最適化の進化と信号処理への応用, 数理解析研究所講究録, 京都大学数理解析研究所, vol. 1972, pp. 1-22, Nov. 2015.
• 山田功. 発信する旅人と成長する英文論文誌A, 電子情報通信学会 基礎・境界ソサイエティ Fundamentals Review, The Institute of Electronics, Information and Communication Engineers, Vol. 7, No. 3, pp. 164-165, 2014.
• Masao Yamagishi, ISAO YAMADA. Sparsity-Aware Feed-Forward Active Noise Control with the Adaptive Douglas-Rachford Splitting, IEICE Technical Workshop on Signal Processing, Technical Report, IEICE, Vol. 113, No. 27, pp. 151-156, May 2013.
• Sayed, A.H., Barbarossa, S., Theodoridis, S., ISAO YAMADA. Introduction to the issue on adaptation and learning over complex networks, IEEE Journal on Selected Topics in Signal Processing, Vol. 7, No. 2, pp. 161-162, 2013.
• Daichi Kitahara, Isao Yamada. A robust algebraic phase unwrapping based on spline approximation, IEICE Technical Report, July 2012.
• Tuan Duong Nguyen, Isao Yamada. Adaptive generalized eigen-pair extraction by a combination of normalization and quasi-Newton algorithm, IEICE Technical Report, vol. 112, no. 48, pp. 31-34, May 2012.
• Daichi Kitahara, Isao Yamada. SIP2011-181,  Mixed Trigonometric Interpolation Techniques for Fast and Stable Algebraic Phase Unwrapping, 電子情報通信学会信号処理研究会, IEICE, vol. 111, no. 466, pp. 303-307, Mar. 2012.
• Tuan Duong Nguyen, Isao Yamada. SIP2011-180,  A Convergence Analysis of G-NPAST Algorithm for Extracting the First Principal Generalized Eigenvector, 電子情報通信学会信号処理研究会, IEICE, vol. 111, no. 466, pp. 299-302, Mar. 2012.
• Takayuki Yamamoto, Masao Yamagishi, Isao Yamada. SIP2011-130,  Adaptive proximal forward-backward splitting applied to Huber loss function for sparse system identification under impulsive noise, 電子情報通信学会信号処理研究会, IEICE Technical Report, IEICE, vol. 111, no. 466, pp. 19-23, Mar. 2012.
• 石浦 菜岐佐, 牧野 光則, 宇佐美 公良, 山田功, 平石 邦彦, 山口 真悟, 中村 正樹. システムと信号処理サブソの新たな展開を目指して, 電子情報通信学会技術研究報告. SIP, 信号処理 : IEICE technical report, 一般社団法人電子情報通信学会, Vol. 111, No. 104, pp. 127, June 2011.
• ISAO YAMADA. Special section on advances in adaptive signal processing and applications, IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E94-A, No. 8, pp. 1617, 2011.
• 山田功. 研究会に行こう！:信号処理研究会（SIP）, 電子情報通信学会 基礎・境界ソサイエティ Fundamentals Review, The Institute of Electronics, Information and Communication Engineers, Vol. 5, No. 1, pp. 94b-95, 2011.
• 山田功. Nirmal Kumar Bose 先生を偲んで, IEICE Fundamentals Review, vol. 4, no. 1, July 2010.
• Isao YAMADA. Optimization treasure trove: a strategic paradigm in advanced signal processing, Tokyo Institute of Technology Bulletin, No. 15, Mar. 2010.  公式リンク  
  
• 山田功. 妄想力・造形力・創造力-理工系大学院の教育現場からの提言, 栄町小中学校教育振興会全体研修会 (July 31, 2009), July 2009.
• 山田功. 妄想力・造形力・創造力- ある理工系研究者の雑感, 季刊誌 造形ジャーナル, 開隆堂, vol. 54, no. 1, pp. 6-9, Jan. 2009.
• 山田功. 国際会議報告：2008 IEEE International Conference on Acoustics, Speech, and Signal Processing, 電子情報通信学会誌, 電子情報通信学会, Vol. 91, No. 8, p. 753, Aug. 2008.
• 山田功. やさしい解説: 凸射影と適応フィルタリングの親密な関係 - はらぺこJAWSから学ぶ理想的な信号処理, 日本音響学会誌, 日本音響学会, Vol. 63, No. 10, pp. 600-605, Oct. 2007.

特許など

• 山田功, 北原　大地. 信号処理装置、信号処理方法およびプログラム. 特許. 登録. 国立大学法人東京工業大学. 2013/02/22. 特願2014-511131. 2015/12/21. 再表2013/157299. 特許第6041325号. 2016/11/18 2016.

学位論文

• 準同型信号処理の新手法と信号分離システムの最適設計法に関する研究,  本文,  Doctor of Engineering,  東京工業大学,  1990/--/--, 

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