論文

• 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.
• 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.
• 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.
• 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.
• 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.
• Masaki Onuki, Shunsuke Ono, Masao Yamagishi, Yuichi Tanaka. Graph signal denoising via trilateral filter on graph spectral domain, IEEE Transactions on Signal and Information Processing over Networks, vol. 2, no. 2, pp. 137-148, Feb. 2016.
• Naoki Tomida, Toshihisa Tanaka, Shunsuke Ono, Masao Yamagishi, Hiroshi Higashi. Active Data Selection for Motor Imagery EEG Classification, IEEE Transactions on Biomedical Engineering, vol. 62, no. 2, pp. 458-467, Sept. 2014.
• 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.
• Masao Yamagishi, Isao Yamada. Overrelaxation of the fast iterative shrinkage-thresholding algorithm with variable stepsize, Inverse Problems, IOP Science, vol. 27, 15pp, Oct. 2011.
• 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.

著書

• 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.

国際会議発表 (査読有り)

• 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.
• 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.
• Ryota Komatsu, Masao Yamagishi, Isao Yamada. A GRAPH REGULARIZED RPCA BY GENERALIZED MOREAU ENHANCED MODEL, 29th European Signal Processing Conference, EUSIPCO 2021, Aug. 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.
• 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.
• 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.
• Riku Akema, Masao Yamagishi, Isao Yamada. An Alternating Projection Algorithm for Approximate Simultaneous Diagonalization, IEEE ICASSP 2019, Proc. IEEE ICASSP 2019, May 2019.
• 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.
• 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.
• 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. ALTERNATING MINIMIZATION APPROACH FOR IDENTIFICATION OF PIECEWISE CONTINUOUS HAMMERSTEIN SYSTEMS, 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.
• 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.
• Anh Huy Phan, Masao Yamagishi, Andrzej Cichocki. An augmented Lagrangian algorithm for decomposition of symmetric tensors of order-4, IEEE ICASSP 2017, Proceedings of IEEE ICASSP 2017, IEEE, 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.
• 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.
• 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.
• Shunsuke Ono, Masao Yamagishi, Takamichi Miyata, Itsuo Kumazawa. Image restoration using a stochastic variant of the alternating direction method of multipliers, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2016, 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.
• Masao Yamagishi, Daichi Kitahara, Isao Yamada. A FAST DUAL ITERATIVE ALGORITHM FOR CONVEXLY CONSTRAINED SPLINE SMOOTHING, Proceedings of IEEE ICASSP 2016, Mar. 2016.
• Masao Yamagishi, Isao Yamada. A nonexpansive operator for computationally efficient hierarchical convex optimization, Proceedings of APSIPA ASC, Dec. 2015.
• Masao Yamagishi, Seisuke Kyochi, Keiichiro Shirai, Masahiro Okuda. A regularization approach for bayer reconstruction in lossy image coding by inverse demosaicing, Proceedings of IEEE ICIP, Sept. 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• Masao YAMAGISHI, Isao YAMADA. An Improvement of Subgradient Projection Operator by Composing Monotone Functions, Proceedings of IEEE ICASSP 2009, (in CD-ROM), Apr. 2009.

国内会議発表 (査読有り)

• 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.
• 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, 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, 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.

国内会議発表 (査読なし・不明)

• 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.
• 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.
• 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.
• 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.
• 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.
• 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. 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.
• 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.
• 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.
• 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.
• 岩居 健太, 山岸昌夫, 梶川 嘉延. 非凸二次制約付き最適化を利用したMirrorフィルタのパラメータ推定法 ～ 実測振動板変位を用いた推定 ～, IEICE Technical Workshop on Signal Processing, IEICE Technical Report, Mar. 2017.
• 岩居 健太, 山岸昌夫, 梶川 嘉延. 非凸二次制約付き最適化を利用したMirrorフィルタのパラメータ推定法, 第31回信号処理シンポジウム講演論文集, Nov. 2016.
• Masao Yamagishi, Isao Yamada. Global convergence of a parallel projection method for certain nonconvex feasibility problems, 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.
• 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.
• 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.
• 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.
• Shunsuke Ono, Masao Yamagishi, Takamichi Miyata, Itsuo Kumazawa. Efficient image restoration based on a stochastic ADMM, IEICE SIP Symposium 2015, 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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, Seisuke Kyochi, Keiichiro Shirai, Masahiro Okuda. A regularization approach for image coding by inverse demosaicing, IEICE SIP Symposium 2014, Proceedings of IEICE SIP Symposium, IEICE, pp. 25-29, Nov. 2014.
• Masaki ONUKI, Shunsuke ONO, Masao YAMAGISHI, Yuichi TANAKA. Optimization of Spectral-Domain Graph Filters Inspired by Subspace Infromation Criterion, IEICE SIP Symposium 2014, Proceedings of IEICE SIP Symposium, IEICE, 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.
• 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.
• 山岸昌夫, 小野峻佑. 凸然わかる凸最適化, 第28回信号処理シンポジウム, 若手研究者のための信号処理ワークショップ チュートリアル講演, 予稿なし, 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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  
  
• 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.
• Masao Yamagishi, ISAO YAMADA. An Improvement of Subgradient Projection Operator and Its Machine Learning Application, Proceedings of IEICE SIP Symposium 2008, Nov. 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.

その他の論文・著書など

• 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.
• 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.

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