default search action
Isao Yamada
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
- [j74]Keita Kume, Isao Yamada:
Adaptive Localized Cayley Parametrization for Optimization Over Stiefel Manifold and Its Convergence Rate Analysis. IEEE Access 12: 31312-31323 (2024) - [c126]Keita Kume, Isao Yamada:
A Variable Smoothing for Nonconvexly Constrained Nonsmooth Optimization with Application to Sparse Spectral Clustering. ICASSP 2024: 9296-9300 - [c125]Yi Zhang, Isao Yamada:
Computing an Entire Solution Path of a Nonconvexly Regularized Convex Sparse Model. ICASSP 2024: 9456-9460 - [c124]Wataru Yata, Isao Yamada:
Imposing Early and Asymptotic Constraints on Ligme with Application to Nonconvex Enhancement of Fused Lasso Models. ICASSP 2024: 9696-9700 - 2023
- [j73]Yang Chen, Masao Yamagishi, Isao Yamada:
A Unified Design of Generalized Moreau Enhancement Matrix for Sparsity Aware LiGME Models. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 106(8): 1025-1036 (2023) - [j72]Masahiro Yukawa, Hiroyuki Kaneko, Kyohei Suzuki, Isao Yamada:
Linearly-Involved Moreau-Enhanced-Over-Subspace Model: Debiased Sparse Modeling and Stable Outlier-Robust Regression. IEEE Trans. Signal Process. 71: 1232-1247 (2023) - [j71]Yi Zhang, Isao Yamada:
A Unified Framework for Solving a General Class of Nonconvexly Regularized Convex Models. IEEE Trans. Signal Process. 71: 3518-3533 (2023) - [c123]Yi Zhang, Isao Yamada:
A Compensated Shrinkage Affine Projection Algorithm for Debiased Sparse Adaptive Filtering. ICASSP 2023: 1-5 - [i5]Yi Zhang, Isao Yamada:
Solution-Set Geometry and Regularization Path of a Nonconvexly Regularized Convex Sparse Model. CoRR abs/2311.18438 (2023) - 2022
- [j70]Riku Akema, Masao Yamagishi, Isao Yamada:
A Robust Canonical Polyadic Tensor Decomposition via Structured Low-Rank Matrix Approximation. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 105-A(1): 11-24 (2022) - [c122]Yi Zhang, Isao Yamada:
A Unified Class of DC-type Convexity-Preserving Regularizers for Improved Sparse Regularization. EUSIPCO 2022: 2051-2055 - [c121]Masahiro Yukawa, Kyohei Suzuki, Isao Yamada:
Stable Robust Regression under Sparse Outlier and Gaussian Noise. EUSIPCO 2022: 2236-2240 - 2021
- [j69]Yang Chen, Masao Yamagishi, Isao Yamada:
A Linearly Involved Generalized Moreau Enhancement of ℓ2, 1-Norm with Application to Weighted Group Sparse Classification. Algorithms 14(11): 312 (2021) - [j68]Riku Akema, Masao Yamagishi, Isao Yamada:
Approximate Simultaneous Diagonalization of Matrices via Structured Low-Rank Approximation. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 104-A(4): 680-690 (2021) - [c120]Yi Zhang, Isao Yamada:
DC-LiGME: An Efficient Algorithm for Improved Convex Sparse Regularization. ACSCC 2021: 1348-1354 - [c119]Takehiko Mizoguchi, Isao Yamada:
A Hypercomplex Tensor-SVD and Its Application. APSIPA ASC 2021: 179-186 - [c118]Ryota Komatsu, Masao Yamagishi, Isao Yamada:
A Graph Regularized RPCA by Generalized Moreau Enhanced Model. EUSIPCO 2021: 2129-2133 - [c117]Yang Chen, Masao Yamagishi, Isao Yamada:
A Generalized Moreau Enhancement of $\ell_{2, 1}$ -norm and Its Application to Group Sparse Classification. EUSIPCO 2021: 2134-2138 - [c116]Keita Kume, Isao Yamada:
A Global Cayley Parametrization of Stiefel Manifold for Direct Utilization of Optimization Mechanisms Over Vector Spaces. ICASSP 2021: 5554-5558 - [c115]Wataru Yata, Masao Yamagishi, Isao Yamada:
A Constrained Linearly Involved Generalized Moreau Enhanced Model and Its Proximal Splitting Algorithm. MLSP 2021: 1-6 - 2020
- [j67]Kengo Uchida, Isao Yamada:
An ℓ1-penalized adaptive normalized quasi-newton algorithm for sparsity-aware generalized eigen-subspace tracking. J. Frankl. Inst. 357(8): 5033-5057 (2020) - [c114]Keita Kume, Isao Yamada:
A Nesterov-type Acceleration with Adaptive Localized Cayley Parametrization for Optimization over the Stiefel Manifold. EUSIPCO 2020: 2105-2109 - [c113]Riku Akema, Masao Yamagishi, Isao Yamada:
Exploiting Commutativity Condition for CP Decomposition Via Approximate Simultaneous Diagonalization. ICASSP 2020: 3287-3291 - [i4]Riku Akema, Masao Yamagishi, Isao Yamada:
Approximate Simultaneous Diagonalization of Matrices via Structured Low-Rank Approximation. CoRR abs/2010.06305 (2020)
2010 – 2019
- 2019
- [j66]Takehiko Mizoguchi, Isao Yamada:
Hypercomplex Tensor Completion via Convex Optimization. IEEE Trans. Signal Process. 67(15): 4078-4092 (2019) - [c112]Hiroki Kuroda, Masao Yamagishi, Isao Yamada:
Piecewise Affine System Identification by Exploiting Sparsity in Tight-Dimensional Spaces. ACC 2019: 4356-4361 - [c111]Keita Kume, Isao Yamada:
Adaptive Localized Cayley Parametrization Technique for Smooth optimization over the Stiefel Manifold. EUSIPCO 2019: 1-5 - [c110]Hiroki Kuroda, Masao Yamagishi, Isao Yamada:
Segmentation of Piecewise ARX Processes by Exploiting Sparsity in Tight-Dimensional Spaces. EUSIPCO 2019: 1-5 - [c109]Jiro Abe, Masao Yamagishi, Isao Yamada:
Convexity-edge-preserving Signal Recovery with Linearly Involved Generalized Minimax Concave Penalty Function. ICASSP 2019: 4918-4922 - [c108]Riku Akema, Masao Yamagishi, Isao Yamada:
An Alternating Projection Algorithm for Approximate Simultaneous Diagonalization. ICASSP 2019: 4973-4977 - [c107]Takehiko Mizoguchi, Isao Yamada:
Hypercomplex Low Rank Matrix Completion with Non-negative Constraints via Convex Optimization. ICASSP 2019: 8538-8542 - [i3]Jiro Abe, Masao Yamagishi, Isao Yamada:
Linearly Involved Generalized Moreau Enhanced Models and Their Proximal Splitting Algorithm under Overall Convexity Condition. CoRR abs/1910.10337 (2019) - 2018
- [j65]Kenji Kakimoto, Masao Yamagishi, Isao Yamada:
Smoothing of adaptive eigenvector extraction in nested orthogonal complement structure with minimum disturbance principle. Multidimens. Syst. Signal Process. 29(1): 433-465 (2018) - [j64]Hiroki Kuroda, Masao Yamagishi, Isao Yamada:
Exploiting Sparsity in Tight-Dimensional Spaces for Piecewise Continuous Signal Recovery. IEEE Trans. Signal Process. 66(24): 6363-6376 (2018) - [c106]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 2018: 122-128 - [c105]Masahiro Yukawa, Isao Yamada:
A Fixed-Point Analysis of Regularized Dual Averaging Under Static Scenarios. APSIPA 2018: 207-211 - [c104]Kengo Uchida, Isao Yamada:
A Nested $\ell_{1}$-penalized Adaptive Normalized Quasi-Newton Algorithm for Sparsity-Aware Generalized Eigen-subspace Extraction. APSIPA 2018: 212-217 - [c103]Takehiko Mizoguchi, Isao Yamada:
Hypercomplex Principal Component Pursuit via Convex Optimization. APSIPA 2018: 579-586 - [c102]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 2018: 1580-1585 - [c101]Takehiko Mizoguchi, Isao Yamada:
Hypercomplex Tensor Completion with Cayley-Dickson Singular Value Decomposition. ICASSP 2018: 3979-3983 - [c100]Kwangjin Jeong, Masahiro Yukawa, Masao Yamagishi, Isao Yamada:
Automatic Shrinkage Tuning Robust to Input Correlation for Sparsity-Aware Adaptive Filtering. ICASSP 2018: 4314-4318 - [c99]Hiroki Kuroda, Masao Yamagishi, Isao Yamada:
Alternating Minimization Approach for Identification of Piecewise Continuous Hammerstein Systems. ICASSP 2018: 4389-4393 - [c98]Kengo Uchida, Isao Yamada:
An ℓ1-Penalization Of Adaptive Normalized Quasi-Newton Algorithm For Sparsity-Aware Generalized Eigenvector Estimation. SSP 2018: 528-532 - [c97]Masao Yamagishi, Isao Yamada:
Sparsity-Aware Adaptive Proximal Forward-Backward Splitting Under The Principle Of Minimal Disturbance. SSP 2018: 533-537 - [c96]Riku Akema, Masao Yamagishi, Isao Yamada:
An Efficient Greedy Algorithm for finding the Nearest Simultaneous Diagonalizable Family. SSP 2018: 771-775 - 2017
- [c95]Masao Yamagishi, Isao Yamada:
Global behavior of parallel projection method for certain nonconvex feasibility problems. ICASSP 2017: 4049-4053 - [c94]Kenji Kakimoto, Masao Yamagishi, Isao Yamada:
Acceleration of Adaptive normalized quasi-Newton algorithm with improved upper bounds of the condition number. ICASSP 2017: 4267-4271 - [c93]Konstantinos Slavakis, Isao Yamada, Shunsuke Ono:
Accelerating the hybrid steepest descent method for affinely constrained convex composite minimization tasks. ICASSP 2017: 4711-4715 - [c92]Masao Yamagishi, Masahiro Yukawa, Isao Yamada:
Automatic shrinkage tuning based on a system-mismatch estimate for sparsity-aware adaptive filtering. ICASSP 2017: 4800-4804 - 2016
- [j63]Hiroki Kuroda, Masao Yamagishi, Isao Yamada:
Nonlinear Acoustic Echo Cancellation by Exact-Online Adaptive Alternating Minimization. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 99-A(11): 2027-2036 (2016) - [j62]Tomasz Piotrowski, Isao Yamada:
Reduced-rank estimation for ill-conditioned stochastic linear model with high signal-to-noise ratio. J. Frankl. Inst. 353(13): 2898-2928 (2016) - [j61]Shunsuke Ono, Isao Yamada:
Color-Line Regularization for Color Artifact Removal. IEEE Trans. Computational Imaging 2(3): 204-217 (2016) - [j60]Daichi Kitahara, Isao Yamada:
Algebraic Phase Unwrapping Based on Two-Dimensional Spline Smoothing Over Triangles. IEEE Trans. Signal Process. 64(8): 2103-2118 (2016) - [c91]Kenji Kakimoto, Daichi Kitahara, Masao Yamagishi, Isao Yamada:
Stabilization of adaptive eigenvector extraction by continuation in nested orthogonal complement structure. ICASSP 2016: 4189-4193 - [c90]Daichi Kitahara, Isao Yamada:
Two-dimensional positive spline smoothing and its application to probability density estimation. ICASSP 2016: 4219-4223 - [c89]Masao Yamagishi, Daichi Kitahara, Isao Yamada:
A fast dual iterative algorithm for convexly constrained spline smoothing. ICASSP 2016: 4538-4542 - 2015
- [j59]Daichi Kitahara, Isao Yamada:
Algebraic phase unwrapping along the real axis: extensions and stabilizations. Multidimens. Syst. Signal Process. 26(1): 3-45 (2015) - [j58]Shunsuke Ono, Isao Yamada:
Hierarchical Convex Optimization With Primal-Dual Splitting. IEEE Trans. Signal Process. 63(2): 373-388 (2015) - [j57]Shunsuke Ono, Isao Yamada:
Signal Recovery With Certain Involved Convex Data-Fidelity Constraints. IEEE Trans. Signal Process. 63(22): 6149-6163 (2015) - [c88]Masao Yamagishi, Isao Yamada:
A nonexpansive operator for computationally efficient hierarchical convex optimization. APSIPA 2015: 1100-1106 - [c87]Tomonori Fujiwara, Masao Yamagishi, Isao Yamada:
Reduced-rank modeling of time-varying spectral patterns for supervised source separation. ICASSP 2015: 3307-3311 - [c86]Daichi Kitahara, Isao Yamada:
Probability density function estimation by positive quartic C2-spline functions. ICASSP 2015: 3556-3560 - [c85]Daichi Kitahara, Masao Yamagishi, Isao Yamada:
A virtual resampling technique for algebraic two-dimensional phase unwrapping. ICASSP 2015: 3871-3875 - [c84]Shunsuke Ono, Isao Yamada, Itsuo Kumazawa:
Total generalized variation for graph signals. ICASSP 2015: 5456-5460 - 2014
- [j56]Wemer M. Wee, Isao Yamada:
Tracking Analysis of Adaptive Filters with Error and Matrix Data Nonlinearities. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 97-A(8): 1659-1673 (2014) - [j55]Tomasz Piotrowski, Isao Yamada:
Performance of the stochastic MV-PURE estimator in highly noisy settings. J. Frankl. Inst. 351(6): 3339-3350 (2014) - [j54]Tuan Duong Nguyen, Isao Yamada:
Necessary and sufficient conditions for convergence of the DDT systems of the Normalized PAST algorithms. Signal Process. 94: 288-299 (2014) - [j53]Shunsuke Ono, Takamichi Miyata, Isao Yamada:
Cartoon-Texture Image Decomposition Using Blockwise Low-Rank Texture Characterization. IEEE Trans. Image Process. 23(3): 1128-1142 (2014) - [j52]Takehiko Mizoguchi, Isao Yamada:
An Algebraic Translation of Cayley-Dickson Linear Systems and Its Applications to Online Learning. IEEE Trans. Signal Process. 62(6): 1438-1453 (2014) - [c83]Tomasz Piotrowski, David Gutiérrez, Isao Yamada, Jaroslaw Zygierewicz:
A Family of Reduced-Rank Neural Activity Indices for EEG/MEG Source Localization. Brain Informatics and Health 2014: 447-458 - [c82]Shunsuke Ono, Isao Yamada:
Decorrelated Vectorial Total Variation. CVPR 2014: 4090-4097 - [c81]Naoki Tomida, Masao Yamagishi, Isao Yamada, Toshihisa Tanaka:
A reduced rank approach for covariance matrix estimation in EEG signal classification. EMBC 2014: 668-671 - [c80]Hiroki Kuroda, Masao Yamagishi, Isao Yamada:
Avoiding local trap in nonlinear acoustic echo cancellation with clipping compensation. ICASSP 2014: 1310-1314 - [c79]Katsuhiro Toyokawa, Shunsuke Ono, Masao Yamagishi, Isao Yamada:
Detecting edges of reflections from a single image via convex optimization. ICASSP 2014: 3400-3404 - [c78]Tomasz Piotrowski, David Gutiérrez, Isao Yamada, Jaroslaw Zygierewicz:
Reduced-rank neural activity index for EEG/MEG multi-source localization. ICASSP 2014: 4708-4712 - [c77]Shunsuke Ono, Isao Yamada:
Second-order total Generalized Variation constraint. ICASSP 2014: 4938-4942 - [c76]Daichi Kitahara, Isao Yamada:
Algebraic phase unwrapping over collection of triangles based on two-dimensional spline smoothing. ICASSP 2014: 4963-4967 - [c75]Masao Yamagishi, Masahiro Yukawa, Isao Yamada:
Shrinkage tuning based on an unbiased MSE estimate for sparsity-aware adaptive filtering. ICASSP 2014: 5477-5481 - [c74]Wemer M. Wee, Masao Yamagishi, Isao Yamada:
Mean-square performance of the hyperslab-based adaptive projected subgradient method. ICASSP 2014: 6384-6388 - 2013
- [j51]Hiroki Kuroda, Shunsuke Ono, Masao Yamagishi, Isao Yamada:
Exploiting Group Sparsity in Nonlinear Acoustic Echo Cancellation by Adaptive Proximal Forward-Backward Splitting. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 96-A(10): 1918-1927 (2013) - [j50]Wemer M. Wee, Isao Yamada:
Tracking Analysis of Adaptive Filters with Data Normalization and Error Nonlinearities. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 96-A(11): 2198-2208 (2013) - [j49]Ali H. Sayed, Sergio Barbarossa, Sergios Theodoridis, Isao Yamada:
Introduction to the issue on adaptation and learning over complex networks. IEEE J. Sel. Top. Signal Process. 7(2): 161-162 (2013) - [j48]Tuan Duong Nguyen, Noriyuki Takahashi, Isao Yamada:
An adaptive extraction of generalized eigensubspace by using exact nested orthogonal complement structure. Multidimens. Syst. Signal Process. 24(3): 457-483 (2013) - [j47]Konstantinos Slavakis, Isao Yamada:
The Adaptive Projected Subgradient Method Constrained by Families of Quasi-nonexpansive Mappings and Its Application to Online Learning. SIAM J. Optim. 23(1): 126-152 (2013) - [j46]Tuan Duong Nguyen, Isao Yamada:
A unified convergence analysis of Normalized PAST algorithms for estimating principal and minor components. Signal Process. 93(1): 176-184 (2013) - [j45]Symeon Chouvardas, Konstantinos Slavakis, Sergios Theodoridis, Isao Yamada:
Stochastic Analysis of Hyperslab-Based Adaptive Projected Subgradient Method Under Bounded Noise. IEEE Signal Process. Lett. 20(7): 729-732 (2013) - [j44]Ali H. Sayed, Sergio Barbarossa, Sergios Theodoridis, Isao Yamada:
Adaptation and Learning over Complex Networks [From the Guest Editors]. IEEE Signal Process. Mag. 30(3): 14-15 (2013) - [j43]Tuan Duong Nguyen, Isao Yamada:
Adaptive Normalized Quasi-Newton Algorithms for Extraction of Generalized Eigen-Pairs and Their Convergence Analysis. IEEE Trans. Signal Process. 61(6): 1404-1418 (2013) - [c73]Masao Yamagishi, Isao Yamada:
Exploiting sparsity in feed-forward active noise control with adaptive Douglas-Rachford splitting. APSIPA 2013: 1-6 - [c72]Shunsuke Ono, Isao Yamada:
A Convex Regularize for Reducing Color Artifact in Color Image Recovery. CVPR 2013: 1775-1781 - [c71]Isao Yamada, Shunsuke Ono:
Signal recovery by minimizing the Moreau envelope over the fixed point set of nonexpansive mappings. EUSIPCO 2013: 1-5 - [c70]Tomasz Piotrowski, Claudia C. Zaragoza-Martínez, David Gutiérrez, Isao Yamada:
MV-PURE estimator of dipole source signals in EEG. ICASSP 2013: 968-972 - [c69]Masao Yamagishi, Isao Yamada:
A rank selection of MV-PURE with an unbiased predicted-MSE criterion and its efficient implementation in image restoration. ICASSP 2013: 1573-1577 - [c68]Wemer M. Wee, Isao Yamada:
A proximal splitting approach to regularized distributed adaptive estimation in diffusion networks. ICASSP 2013: 5420-5424 - [c67]Daichi Kitahara, Isao Yamada:
Algebraic phase unwrapping for functional data analytic estimations - Extensions and stabilizations. ICASSP 2013: 5835-5839 - [c66]Shunsuke Ono, Isao Yamada:
Poisson image restoration with likelihood constraint via hybrid steepest descent method. ICASSP 2013: 5929-5933 - [c65]Shunsuke Ono, Masao Yamagishi, Isao Yamada:
A sparse system identification by using adaptively-weighted total variation via a primal-dual splitting approach. ICASSP 2013: 6029-6033 - [c64]Takehiko Mizoguchi, Isao Yamada:
An algebraic real translation of hypercomplex linear systems and its application to adaptive filtering. ICASSP 2013: 6181-6185 - [c63]Shunsuke Ono, Isao Yamada:
Optimized JPEG image decompression with super-resolution interpolation using multi-order total variation. ICIP 2013: 474-478 - [c62]Masahiro Yukawa, Yuta Tawara, Shigenobu Sasaki, Isao Yamada:
A Sparsity-Based Design of Regularization Parameter for Adaptive Proximal Forward-Backward Splitting Algorithm. ISWCS 2013: 1-4 - [i2]Rodrigo Caiado de Lamare, Masahiro Yukawa, Isao Yamada:
Robust Reduced-Rank Adaptive Processing Based on Parallel Subgradient Projection and Krylov Subspace Techniques. CoRR abs/1306.6378 (2013) - 2012
- [j42]Shunsuke Ono, Takamichi Miyata, Isao Yamada, Katsunori Yamaoka:
Image Recovery by Decomposition with Component-Wise Regularization. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 95-A(12): 2470-2478 (2012) - [j41]Hideaki Iiduka, Isao Yamada:
Computational Method for Solving a Stochastic Linear-Quadratic Control Problem Given an Unsolvable Stochastic Algebraic Riccati Equation. SIAM J. Control. Optim. 50(4): 2173-2192 (2012) - [c61]Shunsuke Ono, Isao Yamada:
A hierarchical convex optimization approach for high fidelity solution selection in image recovery. APSIPA 2012: 1-6 - [c60]Takayuki Yamamoto, Masao Yamagishi, Isao Yamada:
Adaptive proximal forward-backward splitting for sparse system identification under impulsive noise. EUSIPCO 2012: 2620-2624 - [c59]Tomasz Piotrowski, Isao Yamada:
Efficient Parallel Computation of the Stochastic MV-PURE Estimator by the Hybrid Steepest Descent Method. ICAISC (2) 2012: 404-412 - [c58]Shunsuke Ono, Takamichi Miyata, Isao Yamada, Katsunori Yamaoka:
Missing region recovery by promoting blockwise low-rankness. ICASSP 2012: 1281-1284 - [c57]Tomasz Piotrowski, Isao Yamada:
Performance of the stochastic MV-PURE estimator with explicit modeling of uncertainty. ICASSP 2012: 3349-3352 - [c56]Masao Yamagishi, Shunsuke Ono, Isao Yamada:
Two variants of alternating direction method of multipliers without certain inner iterations and their application to image super-resolution. ICASSP 2012: 3661-3664 - [c55]Masahiro Yukawa, Yuta Tawara, Masao Yamagishi, Isao Yamada:
Sparsity-aware adaptive filters based on ℓp-norm inspired soft-thresholding technique. ISCAS 2012: 2749-2752 - 2011
- [j40]Isao Yamada:
Foreword. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 94-A(8): 1617 (2011) - [j39]Renato L. G. Cavalcante, Alex Rogers, Nicholas R. Jennings, Isao Yamada:
Distributed Asymptotic Minimization of Sequences of Convex Functions by a Broadcast Adaptive Subgradient Method. IEEE J. Sel. Top. Signal Process. 5(4): 739-753 (2011) - [j38]Isao Yamada, Kazuhiro Oguchi:
High-resolution estimation of the directions-of-arrival distribution by algebraic phase unwrapping algorithms. Multidimens. Syst. Signal Process. 22(1-3): 191-211 (2011) - [j37]Sergios Theodoridis, Konstantinos Slavakis, Isao Yamada:
Adaptive Learning in a World of Projections. IEEE Signal Process. Mag. 28(1): 97-123 (2011) - [c54]Masahiro Yukawa, Isao Yamada:
A deterministic analysis of linearly constrained adaptive filtering algorithms. EUSIPCO 2011: 131-135 - [c53]Isao Yamada, Silvia Gandy, Masao Yamagishi:
Sparsity-aware adaptive filtering based on a Douglas-Rachford splitting. EUSIPCO 2011: 1929-1933 - [c52]Masao Yamagishi, Masahiro Yukawa, Isao Yamada:
Acceleration of adaptive proximal forward-backward splitting method and its application to sparse system identification. ICASSP 2011: 4296-4299 - [c51]Masahiro Yukawa, Isao Yamada:
Adaptive beamforming by simultaneous projection in dual domains. nDS 2011: 1-5 - [p1]Isao Yamada, Masahiro Yukawa, Masao Yamagishi:
Minimizing the Moreau Envelope of Nonsmooth Convex Functions over the Fixed Point Set of Certain Quasi-Nonexpansive Mappings. Fixed-Point Algorithms for Inverse Problems in Science and Engineering 2011: 345-390 - 2010
- [j36]Masahiro Yukawa, Konstantinos Slavakis, Isao Yamada:
Multi-Domain Adaptive Learning Based on Feasibility Splitting and Adaptive Projected Subgradient Method. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 93-A(2): 456-466 (2010) - [j35]