A Deep Monotone Approximation Operator Based on the Best Quadratic Lower Bound of Convex Functions. - Masao Yamagishi; Isao Yamada (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2008)

An improvement of subgradient projection operator by composing monotonic functions. - Masao Yamagishi; Isao Yamada (ICASSP, 2009)

A sparse adaptive filtering using time-varying soft-thresholding techniques. - Yukihiro Murakami; Masao Yamagishi; Masahiro Yukawa; Isao Yamada (ICASSP, 2010)

Minimizing the Moreau Envelope of Nonsmooth Convex Functions over the Fixed Point Set of Certain Quasi-Nonexpansive Mappings. - Isao Yamada; Masahiro Yukawa; Masao Yamagishi (Fixed-Point Algorithms for Inverse Problems in Science and Engineering, 2011)

Sparsity-aware adaptive filtering based on a Douglas-Rachford splitting. - Isao Yamada; Silvia Gandy; Masao Yamagishi (EUSIPCO, 2011)

Acceleration of adaptive proximal forward-backward splitting method and its application to sparse system identification. - Masao Yamagishi; Masahiro Yukawa; Isao Yamada (ICASSP, 2011)

Adaptive proximal forward-backward splitting for sparse system identification under impulsive noise. - Takayuki Yamamoto; Masao Yamagishi; Isao Yamada (EUSIPCO, 2012)

Two variants of alternating direction method of multipliers without certain inner iterations and their application to image super-resolution. - Masao Yamagishi; Shunsuke Ono; Isao Yamada (ICASSP, 2012)

Sparsity-aware adaptive filters based on ℓp-norm inspired soft-thresholding technique. - Masahiro Yukawa; Yuta Tawara; Masao Yamagishi; Isao Yamada (ISCAS, 2012)

Exploiting sparsity in feed-forward active noise control with adaptive Douglas-Rachford splitting. - Masao Yamagishi; Isao Yamada (APSIPA, 2013)

A sparse system identification by using adaptively-weighted total variation via a primal-dual splitting approach. - Shunsuke Ono; Masao Yamagishi; Isao Yamada (ICASSP, 2013)

A rank selection of MV-PURE with an unbiased predicted-MSE criterion and its efficient implementation in image restoration. - Masao Yamagishi; Isao Yamada (ICASSP, 2013)

Exploiting Group Sparsity in Nonlinear Acoustic Echo Cancellation by Adaptive Proximal Forward-Backward Splitting. - Hiroki Kuroda; Shunsuke Ono; Masao Yamagishi; Isao Yamada (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2013)

A reduced rank approach for covariance matrix estimation in EEG signal classification. - Naoki Tomida; Masao Yamagishi; Isao Yamada; Toshihisa Tanaka 001 (EMBC, 2014)

Avoiding local trap in nonlinear acoustic echo cancellation with clipping compensation. - Hiroki Kuroda; Masao Yamagishi; Isao Yamada (ICASSP, 2014)

Detecting edges of reflections from a single image via convex optimization. - Katsuhiro Toyokawa; Shunsuke Ono; Masao Yamagishi; Isao Yamada (ICASSP, 2014)

Mean-square performance of the hyperslab-based adaptive projected subgradient method. - Wemer M. Wee; Masao Yamagishi; Isao Yamada (ICASSP, 2014)

Shrinkage tuning based on an unbiased MSE estimate for sparsity-aware adaptive filtering. - Masao Yamagishi; Masahiro Yukawa; Isao Yamada (ICASSP, 2014)

A nonexpansive operator for computationally efficient hierarchical convex optimization. - Masao Yamagishi; Isao Yamada (APSIPA, 2015)

Reduced-rank modeling of time-varying spectral patterns for supervised source separation. - Tomonori Fujiwara; Masao Yamagishi; Isao Yamada (ICASSP, 2015)

A virtual resampling technique for algebraic two-dimensional phase unwrapping. - Daichi Kitahara; Masao Yamagishi; Isao Yamada (ICASSP, 2015)

A regularization approach for bayer reconstruction in lossy image coding by inverse demosaicing. - Masao Yamagishi; Seisuke Kyochi; Keiichiro Shirai; Masahiro Okuda (ICIP, 2015)

Active Data Selection for Motor Imagery EEG Classification. - Naoki Tomida; Toshihisa Tanaka 001; Shunsuke Ono; Masao Yamagishi; Hiroshi Higashi (IEEE Trans. Biomed. Eng., 2015)

Stabilization of adaptive eigenvector extraction by continuation in nested orthogonal complement structure. - Kenji Kakimoto; Daichi Kitahara; Masao Yamagishi; Isao Yamada (ICASSP, 2016)

Image restoration using a stochastic variant of the alternating direction method of multipliers. - Shunsuke Ono; Masao Yamagishi; Takamichi Miyata; Itsuo Kumazawa (ICASSP, 2016)

A fast dual iterative algorithm for convexly constrained spline smoothing. - Masao Yamagishi; Daichi Kitahara; Isao Yamada (ICASSP, 2016)

Nonlinear Acoustic Echo Cancellation by Exact-Online Adaptive Alternating Minimization. - Hiroki Kuroda; Masao Yamagishi; Isao Yamada (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2016)

Graph Signal Denoising via Trilateral Filter on Graph Spectral Domain. - Masaki Onuki; Shunsuke Ono; Masao Yamagishi; Yuichi Tanaka 001 (IEEE Trans. Signal Inf. Process. over Networks, 2016)

Acceleration of Adaptive normalized quasi-Newton algorithm with improved upper bounds of the condition number. - Kenji Kakimoto; Masao Yamagishi; Isao Yamada (ICASSP, 2017)

An augmented Lagrangian algorithm for decomposition of symmetric tensors of order-4. - Anh Huy Phan 001; Masao Yamagishi; Andrzej Cichocki (ICASSP, 2017)

Global behavior of parallel projection method for certain nonconvex feasibility problems. - Masao Yamagishi; Isao Yamada (ICASSP, 2017)

Automatic shrinkage tuning based on a system-mismatch estimate for sparsity-aware adaptive filtering. - Masao Yamagishi; Masahiro Yukawa; Isao Yamada (ICASSP, 2017)

A DDoS Attack Detection by Group-Sparse Plus Low-Rank Temporally-Smooth Decomposition for Extended OD Flow Matrix. - Masao Yamagishi; Masaya Endo; Isao Yamada (APSIPA, 2018)

Automatic Shrinkage Tuning Robust to Input Correlation for Sparsity-Aware Adaptive Filtering. - Kwangjin Jeong; Masahiro Yukawa; Masao Yamagishi; Isao Yamada (ICASSP, 2018)

Alternating Minimization Approach for Identification of Piecewise Continuous Hammerstein Systems. - Hiroki Kuroda; Masao Yamagishi; Isao Yamada (ICASSP, 2018)

An Efficient Greedy Algorithm for finding the Nearest Simultaneous Diagonalizable Family. - Riku Akema; Masao Yamagishi; Isao Yamada (SSP, 2018)

Sparsity-Aware Adaptive Proximal Forward-Backward Splitting Under The Principle Of Minimal Disturbance. - Masao Yamagishi; Isao Yamada (SSP, 2018)

Smoothing of adaptive eigenvector extraction in nested orthogonal complement structure with minimum disturbance principle. - Kenji Kakimoto; Masao Yamagishi; Isao Yamada (Multidimens. Syst. Signal Process., 2018)

Exploiting Sparsity in Tight-Dimensional Spaces for Piecewise Continuous Signal Recovery. - Hiroki Kuroda; Masao Yamagishi; Isao Yamada (IEEE Trans. Signal Process., 2018)

Piecewise Affine System Identification by Exploiting Sparsity in Tight-Dimensional Spaces. - Hiroki Kuroda; Masao Yamagishi; Isao Yamada (ACC, 2019)

Segmentation of Piecewise ARX Processes by Exploiting Sparsity in Tight-Dimensional Spaces. - Hiroki Kuroda; Masao Yamagishi; Isao Yamada (EUSIPCO, 2019)

Convexity-edge-preserving Signal Recovery with Linearly Involved Generalized Minimax Concave Penalty Function. - Jiro Abe; Masao Yamagishi; Isao Yamada (ICASSP, 2019)

An Alternating Projection Algorithm for Approximate Simultaneous Diagonalization. - Riku Akema; Masao Yamagishi; Isao Yamada (ICASSP, 2019)

Linearly Involved Generalized Moreau Enhanced Models and Their Proximal Splitting Algorithm under Overall Convexity Condition. - Jiro Abe; Masao Yamagishi; Isao Yamada (CoRR, 2019)

Exploiting Commutativity Condition for CP Decomposition Via Approximate Simultaneous Diagonalization. - Riku Akema; Masao Yamagishi; Isao Yamada (ICASSP, 2020)

Quadratic programming over ellipsoids with applications to constrained linear regression and tensor decomposition. - Anh-Huy Phan 001; Masao Yamagishi; Danilo P. Mandic; Andrzej Cichocki (Neural Comput. Appl., 2020)

A Generalized Moreau Enhancement of $ ell_{2, 1}$ -norm and Its Application to Group Sparse Classification. - Yang Chen; Masao Yamagishi; Isao Yamada (EUSIPCO, 2021)

A Graph Regularized RPCA by Generalized Moreau Enhanced Model. - Ryota Komatsu; Masao Yamagishi; Isao Yamada (EUSIPCO, 2021)

A Constrained Linearly Involved Generalized Moreau Enhanced Model and Its Proximal Splitting Algorithm. - Wataru Yata; Masao Yamagishi; Isao Yamada (MLSP, 2021)

A Linearly Involved Generalized Moreau Enhancement of ℓ2, 1-Norm with Application to Weighted Group Sparse Classification. - Yang Chen; Masao Yamagishi; Isao Yamada (Algorithms, 2021)

Approximate Simultaneous Diagonalization of Matrices via Structured Low-Rank Approximation. - Riku Akema; Masao Yamagishi; Isao Yamada (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2021)

A Robust Canonical Polyadic Tensor Decomposition via Structured Low-Rank Matrix Approximation. - Riku Akema; Masao Yamagishi; Isao Yamada (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2022)

A Unified Design of Generalized Moreau Enhancement Matrix for Sparsity Aware LiGME Models. - Yang Chen; Masao Yamagishi; Isao Yamada (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2023)