I. Yamada

发表

Tensor completion and low-n-rank tensor recovery via convex optimization

B. Recht, Silvia Gandy, I. Yamada, 2011 .

Quadratic optimization of fixed points of nonexpansive mappings in Hilbert space

I. Yamada, N. Ogura, K. Sakaniwa, 1998 .

Hybrid Steepest Descent Method for Variational Inequality Problem over the Fixed Point Set of Certain Quasi-nonexpansive Mappings

I. Yamada, N. Ogura, 2005 .

Adaptive Projected Subgradient Method for Asymptotic Minimization of Sequence of Nonnegative Convex Functions

I. Yamada, N. Ogura, 2005 .

The Adaptive Projected Subgradient Method Constrained by Families of Quasi-nonexpansive Mappings and Its Application to Online Learning

Isao Yamada, Konstantinos Slavakis, I. Yamada, 2010, SIAM J. Optim..

The Hybrid Steepest Descent Method for the Variational Inequality Problem over the Intersection of Fixed Point Sets of Nonexpansive Mappings

I. Yamada, 2001 .

The Adaptive Projected Subgradient Method over the Fixed Point Set of Strongly Attracting Nonexpansive Mappings

I. Yamada, N. Ogura, K. Slavakis, 2006 .

A proximal splitting approach to regularized distributed adaptive estimation in diffusion networks

Isao Yamada, Wemer M. Wee, I. Yamada, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Over-relaxation of the fast iterative shrinkage-thresholding algorithm with variable stepsize

I. Yamada, M. Yamagishi, 2011 .

An orthogonal matrix optimization by Dual Cayley Parametrization Technique

I. Yamada, Takato Ezaki, 2003 .

Minimizing certain convex functions over the intersection of the fixed point sets of nonexpansive mappings

I. Yamada, F. Deutsch, 1998 .

Adaptive Constrained Learning in Reproducing Kernel Hilbert Spaces: The Robust Beamforming Case

Sergios Theodoridis, Isao Yamada, Konstantinos Slavakis, 2009, IEEE Transactions on Signal Processing.

Signal processing in dual domain by adaptive projected subgradient method

I. Yamada, K. Slavakis, M. Yukawa, 2009, 2009 16th International Conference on Digital Signal Processing.

Cartoon-Texture Image Decomposition Using Blockwise Low-Rank Texture Characterization

Shunsuke Ono, Isao Yamada, Takamichi Miyata, 2014, IEEE Transactions on Image Processing.

Three variants of alternating direction method of multipliers without certain inner iterations and their application to image super-resolution via sparse representation

I. Yamada, M. Yamagishi, S. Ono, 2012 .

Convex optimization techniques for the efficient recovery of a sparsely corrupted low-rank matrix

Silvia Gandy, I. Yamada, 2010 .

Nonexpansiveness of a linearized augmented Lagrangian operator for hierarchical convex optimization

I. Yamada, M. Yamagishi, 2017 .

NON-STRICTLY CONVEX MINIMIZATION OVER THE FIXED POINT SET OF AN ASYMPTOTICALLY SHRINKING NONEXPANSIVE MAPPING

I. Yamada, N. Ogura, 2002 .

Compositions and convex combinations of averaged nonexpansive operators

P. L. Combettes, I. Yamada, P. Combettes, 2014, 1407.5100.

A Robust Function Estimation in Reproducing Kernel Hilbert Space Based on Finite Dimensional Reformulations

I. Yamada, Shinji Shimamura, 2009 .

Online Sparse Kernel-Based Classification by Projections

I. Yamada, K. Slavakis, S. Theodoridis, 2007, 2007 IEEE Workshop on Machine Learning for Signal Processing.

A numerically robust hybrid steepest descent method for the convexly constrained generalized inverse problems

I. Yamada, 2002 .

An Adaptive Projected Subgradient Approach to Learning in Diffusion Networks

Isao Yamada, Bernard Mulgrew, Renato L. G. Cavalcante, 2009, IEEE Transactions on Signal Processing.

Huber 損失関数を用いたロバストな三重位相差型 GPS A Robust Global Positioning System with Triple Phase Differences and Huber Loss Function 森和也

I. Yamada, M. Yamagishi, D. Kitahara, 2017 .

Branch Cut Type Sign Estimator for 3 D Measurement from A Single Fringe Pattern

I. Yamada, D. Kitahara, 2016 .

A Branch Cut Type Sign Estimator for Single-Frame Fringe Projection Profilometry

Daichi, I. Yamada, 2016 .

Set‐theoretic adaptive filtering based on data‐driven sparsification

Isao Yamada, Masahiro Yukawa, I. Yamada, 2011 .

A fast 2-D stability test procedure based on FFT and its computational complexity

I. Yamada, K. Kurosawa, T. Kokokawa, 1995 .

A fast Gauss-Seidel-like splitting algorithm for convexly constrained spline smoothing

I. Yamada, M. Yamagishi, D. Kitahara, 2014 .

Fejér-monotone hybrid steepest descent method for affinely constrained and composite convex minimization tasks*

Isao Yamada, Konstantinos Slavakis, I. Yamada, 2016, Optimization.

PROBABILITY DENSITY FUNCTION ESTIMATION BY POSITIVE QUARTIC C-SPLINE FUNCTIONS

I. Yamada, D. Kitahara, 2016 .

Two-Dimensional Phase Unwrapping Based on Selective Smoothing and Inconsistency Correction

I. Yamada, D. Kitahara, 2015 .

One-Dimensional Probability Density Function Estimation by Positive Quartic C-Spline Interpolation and Smoothing

I. Yamada, D. Kitahara, 2015 .

A Preprocessing Using Convex Optimization for Algebraic Two-Dimensional Phase Unwrapping

I. Yamada, M. Yamagishi, D. Kitahara, 2014 .

Positive Quartic and Biquartic C-Splines and Their Applications to Two-Dimensional Probability Density Estimation

I. Yamada, D. Kitahara, 2015 .

A subgradient-type method for the equilibrium problem over the fixed point set and its applications

Isao Yamada, Hideaki Iiduka, I. Yamada, 2009 .

Overrelaxation of the fast iterative shrinkage/thresholding algorithm for fast signal recovery

I. Yamada, M. Yamagishi, 2011, 2011 IEEE Statistical Signal Processing Workshop (SSP).

Robust Reduced-Rank Adaptive Algorithm Based on

I. Yamada, R. D. Lamare, M. Yukawa, 2009 .

Stochastic model for quantum noise analysis in flat-panel detectors for medical imaging applications.

I. Yamada, 2016, Journal of the Optical Society of America. A, Optics, image science, and vision.

Sparsity-aware adaptive filters based on ℓp-norm inspired soft-thresholding technique

Isao Yamada, Masahiro Yukawa, Masao Yamagishi, 2012, 2012 IEEE International Symposium on Circuits and Systems.

Constrained adaptive learning in Reproducing Kernel Hilbert Spaces: The beamforming paradigm

I. Yamada, K. Slavakis, S. Theodoridis, 2008, 2008 IEEE Workshop on Machine Learning for Signal Processing.

BIORTHOGONAL UNCONDITIONAL BASES OF COMPACTLY SUPPORTED MATRIX VALUED WAVELETS

I. Yamada, K. Slavakis, 2001 .

An optimization of the relaxed signal adapted wavelet by semidefinite programming techniques

I. Yamada, K. Sakaniwa, K. Akita, 2002, 6th International Conference on Signal Processing, 2002..

Algebraic phase unwrapping with self-reciprocal polynomial algebra

I. Yamada, D. Kitahara, 2017, 2017 International Conference on Sampling Theory and Applications (SampTA).

Two Generalizations of the Projected Gradient Method for Convexly Constrained Inverse Problems : Hybrid steepest descent method, Adaptive projected subgradient method (Numerical Analysis and New Information Technology)

I. Yamada, N. Ogura, 2004 .

AN E1,'FICIEN'l' ROBUST STEREOPIIONIC AC'OUSTIC ECHO CANCELER BASED ON PARALLEL SUBGRADIENT 1"HO.lECTION TECHKIQUES

I. Yamada, M. Yukawa, 2002 .

Accelerating the hybrid steepest descent method for affinely constrained convex composite minimization tasks

Shunsuke Ono, Isao Yamada, Konstantinos Slavakis, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Accelerated hybrid steepest descent method for solving affinely constrained composite convex optimization tasks

I. Yamada, K. Slavakis, 2016 .

A Stable Sign Estimation for Algebraic Phase Unwrapping

I. Yamada, D. Kitahara, 2013 .

Mixed Trigonometric Interpolation Techniques for Fast and Stable Algebraic Phase Unwrapping (通信方式)

I. Yamada, D. Kitahara, 2012 .

CANCELER BY ADAPTIVE PROJECTED SUBGRADIENT METHOD WITH MULTIPLE ROOM-ACOUSTICS INFORMATION

I. Yamada, K. Slavakis, M. Yukawa, 2005 .

Low complexity projection-based adaptive algorithm for sparse system identification and signal reconstruction

I. Yamada, K. Slavakis, S. Theodoridis, 2010, 2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers.

An Associative Memory Neural Network to Recall Nearest Pattern from Input

I. Yamada, K. Sakaniwa, Satoshi Iino, 1999 .

Stable Robust Regression under Sparse Outlier and Gaussian Noise

I. Yamada, M. Yukawa, Kyohei Suzuki, 2022, 2022 30th European Signal Processing Conference (EUSIPCO).

A Hypercomplex Tensor-SVD and Its Application

I. Yamada, Takehiko Mizoguchi, 2021, 2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

Counting the Numbers of DOAs in Specified Ranges by Algebraic Phase Unwrapping Algorithms

Isao Yamada, Kazuhiro Oguchi, I. Yamada, 2005 .

Blind and Nonblind DS/CDMA Receivers by Adaptive Projected Subgradient Method

Isao Yamada, Masahiro Yukawa, L G Cavalcante Renato, 2005 .

A-4-10 Fast Stereo Echo Canceler by Adaptive Projected Subgradient Method with Multiple a priori Information

Isao Yamada, Masahiro Yukawa, Konstantinos Slavakis, 2005 .

Linearly involved generalized Moreau enhanced models and their proximal splitting algorithm under overall convexity condition

I. Yamada, M. Yamagishi, Jiro Abe, 2019, Inverse Problems.

MV-PURE Estimator: Minimum-Variance Pseudo-Unbiased Reduced-Rank Estimator for Linearly Constrained Ill-Conditioned Inverse Problems

Isao Yamada, Tomasz Piotrowski, I. Yamada, 2008, IEEE Transactions on Signal Processing.

Approximation of convexly constrained pseudoinverse by hybrid steepest descent method

I. Yamada, I. Yamada, 1999, ISCAS'99. Proceedings of the 1999 IEEE International Symposium on Circuits and Systems VLSI (Cat. No.99CH36349).

A Nesterov-type Acceleration with Adaptive Localized Cayley Parametrization for Optimization over the Stiefel Manifold

Keita Kume, Isao Yamada, I. Yamada, 2021, 2020 28th European Signal Processing Conference (EUSIPCO).

Hierarchical Convex Optimization by the Hybrid Steepest Descent Method with Proximal Splitting Operators—Enhancements of SVM and Lasso

Masao Yamagishi, Isao Yamada, I. Yamada, 2022, Splitting Algorithms, Modern Operator Theory, and Applications.

A Hierarchical Convex Optimization for Multiclass SVM Achieving Maximum Pairwise Margins with Least Empirical Hinge-Loss

Isao Yamada, Masao Yamagishi, Yunosuke Nakayama, 2020, 2004.08180.

Exploiting Commutativity Condition for CP Decomposition Via Approximate Simultaneous Diagonalization

Isao Yamada, Masao Yamagishi, Riku Akema, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Adaptive Normalized Quasi-Newton Algorithms for Extraction of Generalized Eigen-Pairs and Their Convergence Analysis

Isao Yamada, Tuan Duong Nguyen, I. Yamada, 2013, IEEE Transactions on Signal Processing.

A unified convergence analysis of Normalized PAST algorithms for estimating principal and minor components

Isao Yamada, Tuan Duong Nguyen, I. Yamada, 2013, Signal Process..

An Efficient Adaptive Minor Subspace Extraction Using Exact Nested Orthogonal Complement Structure

Isao Yamada, Masaki Misono, I. Yamada, 2008, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

Exploiting sparsity in feed-forward active noise control with adaptive Douglas-Rachford splitting

Isao Yamada, Masao Yamagishi, I. Yamada, 2013, 2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference.

Minimizing the Moreau Envelope of Nonsmooth Convex Functions over the Fixed Point Set of Certain Quasi-Nonexpansive Mappings

Isao Yamada, Masahiro Yukawa, Masao Yamagishi, 2011, Fixed-Point Algorithms for Inverse Problems in Science and Engineering.

Online Kernel-Based Classification Using Adaptive Projection Algorithms

Sergios Theodoridis, Isao Yamada, Konstantinos Slavakis, 2008, IEEE Transactions on Signal Processing.

Acceleration of adaptive parallel projection algorithms by Pairwise Optimal WEight Realization

Isao Yamada, Masahiro Yukawa, I. Yamada, 2004, 2004 12th European Signal Processing Conference.

Algebraic Phase Unwrapping Based on Two-Dimensional Spline Smoothing Over Triangles

Isao Yamada, Daichi Kitahara, I. Yamada, 2016, IEEE Transactions on Signal Processing.

A fast dual iterative algorithm for convexly constrained spline smoothing

Isao Yamada, Masao Yamagishi, Daichi Kitahara, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Two-dimensional positive spline smoothing and its application to probability density estimation

Isao Yamada, Daichi Kitahara, I. Yamada, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Algebraic phase unwrapping over collection of triangles based on two-dimensional spline smoothing

Isao Yamada, Daichi Kitahara, I. Yamada, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Algebraic Phase Unwrapping over Collection of Triangles and Its Application

I. Yamada, D. Kitahara, 2014 .

MINIMUM-VARIANCE PSEUDO-UNBIASED REDUCED-RANK ESTIMATOR ( MV-PURE ) AND ITS APPLICATIONS TO ILL-CONDITIONED INVERSE PROBLEMS

Isao Yamada, Tomasz Piotrowski, I. Yamada, 2007 .

Adaptive quadratic-metric parallel subgradient projection algorithm and its application to acoustic echo cancellation

Isao Yamada, Masahiro Yukawa, I. Yamada, 2006, 2006 14th European Signal Processing Conference.

An adaptive extraction of generalized eigensubspace by using exact nested orthogonal complement structure

Isao Yamada, Noriyuki Takahashi, Tuan Duong Nguyen, 2013, Multidimens. Syst. Signal Process..

Adaptive proximal forward-backward splitting for sparse system identification under impulsive noise

Isao Yamada, Masao Yamagishi, Takayuki Yamamoto, 2012, 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO).

Acceleration of adaptive proximal forward-backward splitting method and its application to sparse system identification

Isao Yamada, Masahiro Yukawa, Masao Yamagishi, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A sparse adaptive filtering using time-varying soft-thresholding techniques

Isao Yamada, Masahiro Yukawa, Masao Yamagishi, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

A Convexly Constrained LiGME Model and Its Proximal Splitting Algorithm

Isao Yamada, Masao Yamagishi, Wataru Yata, 2021, 2105.02994.

Convexity-edge-preserving Signal Recovery with Linearly Involved Generalized Minimax Concave Penalty Function

Isao Yamada, Masao Yamagishi, Jiro Abe, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Exploiting Sparsity in Tight-Dimensional Spaces for Piecewise Continuous Signal Recovery

Isao Yamada, Hiroki Kuroda, Masao Yamagishi, 2018, IEEE Transactions on Signal Processing.

A nonexpansive operator for computationally efficient hierarchical convex optimization

Isao Yamada, Masao Yamagishi, I. Yamada, 2015, 2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA).

Signal Recovery With Certain Involved Convex Data-Fidelity Constraints

Shunsuke Ono, Isao Yamada, I. Yamada, 2015, IEEE Transactions on Signal Processing.

Total generalized variation for graph signals

I. Yamada, I. Kumazawa, Shunsuke Ono, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Hierarchical Convex Optimization With Primal-Dual Splitting

Shunsuke Ono, Isao Yamada, I. Yamada, 2015, IEEE Transactions on Signal Processing.

Decorrelated Vectorial Total Variation

Shunsuke Ono, Isao Yamada, I. Yamada, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Second-order total Generalized Variation constraint

Shunsuke Ono, Isao Yamada, I. Yamada, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Optimized JPEG image decompression with super-resolution interpolation using multi-order total variation

Shunsuke Ono, Isao Yamada, I. Yamada, 2013, 2013 IEEE International Conference on Image Processing.

A sparse system identification by using adaptively-weighted total variation via a primal-dual splitting approach

Shunsuke Ono, Isao Yamada, Masao Yamagishi, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Poisson image restoration with likelihood constraint via hybrid steepest descent method

Shunsuke Ono, Isao Yamada, I. Yamada, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Hypercomplex Tensor Completion via Convex Optimization

Isao Yamada, Takehiko Mizoguchi, I. Yamada, 2019, IEEE Transactions on Signal Processing.

A Branch Cut Algorithm for 180-Degree Ambiguity Resolution in 2D Vector Fields and Its Application to Single-Frame Fringe Projection Profilometry

Isao Yamada, Daichi Kitahara, I. Yamada, 2018, 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

Efficient Parallel Computation of the Stochastic MV-PURE Estimator by the Hybrid Steepest Descent Method

Isao Yamada, Tomasz Piotrowski, I. Yamada, 2012, ICAISC.

Robust Reduced-Rank Adaptive Processing Based on Parallel Subgradient Projection and Krylov Subspace Techniques pdf

Isao Yamada, Rodrigo C. de Lamare, Masahiro Yukawa, 2013, ArXiv.

Robust Reduced-Rank Adaptive Algorithm Based on Parallel Subgradient Projection and Krylov Subspace

Isao Yamada, Rodrigo C. de Lamare, Masahiro Yukawa, 2009, IEEE Transactions on Signal Processing.

A Flexible Peak-To-Average Power Ratio Reduction Scheme for OFDM Systems by the Adaptive Projected Subgradient Method

Isao Yamada, Renato L. G. Cavalcante, I. Yamada, 2009, IEEE Transactions on Signal Processing.

Robust Wideband Beamforming by the Hybrid Steepest Descent Method

Isao Yamada, Konstantinos Slavakis, I. Yamada, 2007, IEEE Transactions on Signal Processing.

High-resolution DOA estimation by algebraic phase unwrapping algorithm

Isao Yamada, I. Yamada, 2005, 2005 IEEE International Symposium on Circuits and Systems.

Minimum-Variance Pseudo-Unbiased Low-Rank Estimator for Ill-Conditioned Inverse Problems

Isao Yamada, Jamal Elbadraoui, I. Yamada, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Algebraic phase unwrapping along the real axis: extensions and stabilizations

Isao Yamada, Daichi Kitahara, I. Yamada, 2015, Multidimens. Syst. Signal Process..

Algebraic phase unwrapping for functional data analytic estimations—Extensions and stabilizations

Isao Yamada, Daichi Kitahara, I. Yamada, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Algebraic phase unwrapping along the real axis: extensions and stabilizations

I. Yamada, D. Kitahara, Daichi Kitahara, 2013, Multidimensional Systems and Signal Processing.

A Simple Least-Squares Design of M-D IIR Filters with Fixed Separable Denominator Based on Multivariate Division Algorithm

Isao Yamada, Hiroshi Hasegawa, Kohichi Sakaniwa, 2000, Multidimens. Syst. Signal Process..

Efficient Adaptive Stereo Echo Canceling Schemes Based on Simultaneous Use of Multiple State Data

Isao Yamada, Masahiro Yukawa, I. Yamada, 2004 .

Adaptive Parallel Quadratic-Metric Projection Algorithms

Isao Yamada, Masahiro Yukawa, Konstantinos Slavakis, 2007, IEEE Transactions on Audio, Speech, and Language Processing.

Pairwise Optimal Weight Realization—Acceleration Technique for Set-Theoretic Adaptive Parallel Subgradient Projection Algorithm

I. Yamada, M. Yukawa, I. Yamada, 2006, IEEE Transactions on Signal Processing.

Adaptive projected subgradient method and its applications to robust signal processing

Isao Yamada, Masahiro Yukawa, Renato L. G. Cavalcante, 2006, 2006 IEEE International Symposium on Circuits and Systems.

Efficient Fast Stereo Acoustic Echo Cancellation Based on Pairwise Optimal Weight Realization Technique

Isao Yamada, Masahiro Yukawa, Noriaki Murakoshi, 2006, EURASIP J. Adv. Signal Process..

An efficient fast stereo echo canceler by pairwise optimal weight realization technique

Isao Yamada, Masahiro Yukawa, Noriaki Murakoshi, 2005, 2005 13th European Signal Processing Conference.

Adaptive projected subgradient method and set theoretic adaptive filtering with multiple convex constraints

M. Yukawa, K. Slavakis, I. Yamada, 2004, Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004..

Adaptive projected subgradient method and its acceleration techniques

Isao Yamada, Masahiro Yukawa, Nobuhiko Ogura, 2004 .

Adaptive Learning in a World of Projections

Sergios Theodoridis, Isao Yamada, Konstantinos Slavakis, 2011, IEEE Signal Processing Magazine.

Approximate Simultaneous Diagonalization of Matrices via Structured Low-Rank Approximation pdf

Isao Yamada, Masao Yamagishi, Riku Akema, 2020, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

An Alternating Projection Algorithm for Approximate Simultaneous Diagonalization

Isao Yamada, Masao Yamagishi, Riku Akema, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Hypercomplex Principal Component Pursuit via Convex Optimization

Isao Yamada, Takehiko Mizoguchi, I. Yamada, 2018, 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

Hypercomplex Tensor Completion with Cayley-Dickson Singular Value Decomposition

Isao Yamada, Takehiko Mizoguchi, I. Yamada, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Global behavior of parallel projection method for certain nonconvex feasibility problems

Isao Yamada, Masao Yamagishi, I. Yamada, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Adaptation and Learning over Complex Networks [From the Guest Editors]

Sergios Theodoridis, Isao Yamada, Ali H. Sayed, 2013, IEEE Signal Process. Mag..

Adaptive Localized Cayley Parametrization for Optimization over Stiefel Manifold

I. Yamada, Keita Kume, 2023, 2305.17901.

An ℓ1-penalized adaptive normalized quasi-newton algorithm for sparsity-aware generalized eigen-subspace tracking

Isao Yamada, Kengo Uchida, I. Yamada, 2020, J. Frankl. Inst..

Reduced-rank estimation for ill-conditioned stochastic linear model with high signal-to-noise ratio

Isao Yamada, Tomasz Piotrowski, I. Yamada, 2016, J. Frankl. Inst..

Reduced-rank modeling of time-varying spectral patterns for supervised source separation

Isao Yamada, Masao Yamagishi, Tomonori Fujiwara, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A Family of Reduced-Rank Neural Activity Indices for EEG/MEG Source Localization

Isao Yamada, Jaroslaw Zygierewicz, Tomasz Piotrowski, 2014, Brain Informatics and Health.

An Algebraic Translation of Cayley-Dickson Linear Systems and Its Applications to Online Learning

Isao Yamada, Takehiko Mizoguchi, I. Yamada, 2014, IEEE Transactions on Signal Processing.

MV-PURE estimator of dipole source signals in EEG

Isao Yamada, Tomasz Piotrowski, David Gutiérrez, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Color-Line Regularization for Color Artifact Removal

Shunsuke Ono, Isao Yamada, I. Yamada, 2016, IEEE Transactions on Computational Imaging.

A Global Cayley Parametrization of Stiefel Manifold for Direct Utilization of Optimization Mechanisms Over Vector Spaces

Isao Yamada, Keita Kume, I. Yamada, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Linearly-Involved Moreau-Enhanced-Over-Subspace Model: Debiased Sparse Modeling and Stable Outlier-Robust Regression

I. Yamada, M. Yukawa, Kyohei Suzuki, 2022, IEEE Transactions on Signal Processing.

Why the stochastic MV-PURE estimator excels in highly noisy situations?

Isao Yamada, Tomasz Piotrowski, I. Yamada, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

An efficient robust adaptive filtering algorithm based on parallel subgradient projection techniques

Isao Yamada, Konstantinos Slavakis, Kenyu Yamada, 2002, IEEE Trans. Signal Process..

Link probability control for probabilistic diffusion least-mean squares over resource-constrained networks

Isao Yamada, Noriyuki Takahashi, I. Yamada, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

A Unified Class of DC-type Convexity-Preserving Regularizers for Improved Sparse Regularization

I. Yamada, Yi Zhang, 2022, 2022 30th European Signal Processing Conference (EUSIPCO).

Stochastic Analysis of Hyperslab-Based Adaptive Projected Subgradient Method Under Bounded Noise

Sergios Theodoridis, Isao Yamada, Symeon Chouvardas, 2013, IEEE Signal Processing Letters.

Sparsity-aware adaptive filtering based on a Douglas-Rachford splitting

Isao Yamada, Masao Yamagishi, Silvia Gandy, 2011, 2011 19th European Signal Processing Conference.

A color super-resolution with multiple nonsmooth constraints by hybrid steepest descent method

Isao Yamada, Hiroshi Hasegawa, Kohichi Sakaniwa, 2005, IEEE International Conference on Image Processing 2005.

Diffusion Least-Mean Squares With Adaptive Combiners: Formulation and Performance Analysis

Isao Yamada, Ali H. Sayed, Noriyuki Takahashi, 2010, IEEE Transactions on Signal Processing.

Steady-State Mean-Square Performance Analysis of a Relaxed Set-Membership NLMS Algorithm by the Energy Conservation Argument

Isao Yamada, Noriyuki Takahashi, I. Yamada, 2009, IEEE Transactions on Signal Processing.

Computational Method for Solving a Stochastic Linear-Quadratic Control Problem Given an Unsolvable Stochastic Algebraic Riccati Equation

Hideaki Iiduka, Isao Yamada, I. Yamada, 2012, SIAM J. Control. Optim..

A Use of Conjugate Gradient Direction for the Convex Optimization Problem over the Fixed Point Set of a Nonexpansive Mapping

Isao Yamada, Hideaki Iiduka, I. Yamada, 2008, SIAM J. Optim..

A Unified Framework for Solving a General Class of Nonconvexly Regularized Convex Models

I. Yamada, Yi Zhang, 2023, 2306.14663.

An inexact proximal linearized DC algorithm with provably terminating inner loop

I. Yamada, Yi Zhang, 2023, Optimization.

DC-LiGME: An Efficient Algorithm for Improved Convex Sparse Regularization

I. Yamada, Yi Zhang, 2021, Asilomar Conference on Signals, Systems and Computers.

Recovery of piecewise finite-dimensional continuous signals by exploiting sparsity

Isao Yamada, Hiroki Kuroda, Masao Yamagishi, 2017, 2017 International Conference on Sampling Theory and Applications (SampTA).

Image Recovery by Decomposition with Component-Wise Regularization

Shunsuke Ono, Isao Yamada, Katsunori Yamaoka, 2012, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

A DDoS Attack Detection by Group-Sparse Plus Low-Rank Temporally-Smooth Decomposition for Extended OD Flow Matrix

Isao Yamada, Masao Yamagishi, Masaya Endo, 2018, 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

Signal recovery by minimizing the Moreau envelope over the fixed point set of nonexpansive mappings

Shunsuke Ono, Isao Yamada, I. Yamada, 2013, 21st European Signal Processing Conference (EUSIPCO 2013).

A Convex Regularizer for Reducing Color Artifact in Color Image Recovery

Shunsuke Ono, Isao Yamada, I. Yamada, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Set-theoretic DS/CDMA receivers for fading channels by adaptive projected subgradient method

Isao Yamada, Masahiro Yukawa, Renato L. G. Cavalcante, 2005, GLOBECOM '05. IEEE Global Telecommunications Conference, 2005..

A fast blind multiple access interference reduction in DS/CDMA systems by adaptive projected subgradient method

Isao Yamada, Kohichi Sakaniwa, Renato L. G. Cavalcante, 2004, 2004 12th European Signal Processing Conference.

Algebraic multidimensional phase unwrapping and zero distribution of complex polynomials-characterization of multivariate stable polynomials

Isao Yamada, Hiroshi Hasegawa, Kaoru Kurosawa, 1998, IEEE Trans. Signal Process..

Stochastic MV-PURE Estimator— Robust Reduced-Rank Estimator for Stochastic Linear Model

Isao Yamada, Renato L. G. Cavalcante, Tomasz Piotrowski, 2009, IEEE Transactions on Signal Processing.

Computation of symmetric positive definite Toeplitz matrices by the hybrid steepest descent method

Isao Yamada, Kohichi Sakaniwa, Konstantinos Slavakis, 2003, Signal Process..

Generalized left-localized Cayley parametrization for optimization with orthogonality constraints

I. Yamada, Keita Kume, 2022, Optimization.

Automatic shrinkage tuning based on a system-mismatch estimate for sparsity-aware adaptive filtering

Isao Yamada, Masahiro Yukawa, Masao Yamagishi, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

An efficient robust adaptive filtering scheme based on parallel subgradient projection techniques

Isao Yamada, Konstantinos Slavakis, Kenyu Yamada, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

Algebraic phase unwrapping and zero distribution of polynomial for continuous-time systems

N. K. Bose, N. Bose, I. Yamada, 2002 .

Imposing Early and Asymptotic Constraints on Ligme with Application to Nonconvex Enhancement of Fused Lasso Models

I. Yamada, Wataru Yata, 2024, ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Multi-Domain Adaptive Learning Based on Feasibility Splitting and Adaptive Projected Subgradient Method

Isao Yamada, Masahiro Yukawa, Konstantinos Slavakis, 2010, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

ASYMPTOTIC REGULARITY OF LINEAR POWER BOUNDED OPERATORS

I. Yamada, Hong-Kun Xu, 2006 .

A Hypercomplex Tensor-SVD and Its Application

I. Yamada, Takehiko Mizoguchi, 2021, 2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

Hypercomplex Low Rank Matrix Completion with Non-negative Constraints via Convex Optimization

Isao Yamada, Takehiko Mizoguchi, I. Yamada, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Cartoon-Texture Image Decomposition Using Blockwise Low-Rank Texture Characterization

I. Yamada, T. Miyata, Shunsuke Ono, 2014, IEEE Transactions on Image Processing.

A hierarchical convex optimization approach for high fidelity solution selection in image recovery

Shunsuke Ono, Isao Yamada, I. Yamada, 2012, Proceedings of The 2012 Asia Pacific Signal and Information Processing Association Annual Summit and Conference.

Signal Processing, Optimization, Inverse Problems

Isao Yamada, I. Yamada, 2011 .

Multi-domain adaptive filtering by feasibility splitting

Isao Yamada, Masahiro Yukawa, Konstantinos Slavakis, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

A Stabilization of Algebraic Phase Unwrapping by Subresultant

I. Yamada, D. Kitahara, 2012 .

High-resolution estimation of the directions-of-arrival distribution by algebraic phase unwrapping algorithms

Isao Yamada, Kazuhiro Oguchi, I. Yamada, 2011, Multidimens. Syst. Signal Process..

A virtual resampling technique for algebraic two-dimensional phase unwrapping

Isao Yamada, Masao Yamagishi, Daichi Kitahara, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Tracking Analysis of Adaptive Filters with Error and Matrix Data Nonlinearities

Isao Yamada, Wemer M. Wee, I. Yamada, 2014, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

Mean-square performance of the hyperslab-based adaptive projected subgradient method

Isao Yamada, Masao Yamagishi, Wemer M. Wee, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Tracking Analysis of Adaptive Filters with Data Normalization and Error Nonlinearities

Isao Yamada, Wemer M. Wee, I. Yamada, 2013, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

Two product-space formulations for unifying multiple metrics in set-theoretic adaptive filtering

Isao Yamada, Masahiro Yukawa, I. Yamada, 2010, 2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers.

Steady-state performance of hyperslab projection algorithm

Isao Yamada, Noriyuki Takahashi, I. Yamada, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Adaptive projected subgradient method and its applications to set theoretic adaptive filtering

Isao Yamada, Nobuhiko Ogura, I. Yamada, 2003, The Thrity-Seventh Asilomar Conference on Signals, Systems & Computers, 2003.

Parallel algorithms for variational inequalities over the Cartesian product of the intersections of the fixed point sets of nonexpansive mappings

Isao Yamada, Noriyuki Takahashi, I. Yamada, 2008, J. Approx. Theory.

Asymptotic minimization of sequences of loss functions constrained by families of quasi-nonexpansive mappings and its application to online learning pdf

Isao Yamada, Konstantinos Slavakis, I. Yamada, 2010, ArXiv.

Distributed Asymptotic Minimization of Sequences of Convex Functions by a Broadcast Adaptive Subgradient Method

Isao Yamada, Nicholas R. Jennings, Alex Rogers, 2011, IEEE Journal of Selected Topics in Signal Processing.

A necessary condition for linear phase in two-dimensional perfect reconstruction QMF banks

Kaoru Kurosawa, Masayuki Ihara, Isao Yamada, 1994, Proceedings of IEEE International Symposium on Circuits and Systems - ISCAS '94.

Shrinkage tuning based on an unbiased MSE estimate for sparsity-aware adaptive filtering

Isao Yamada, Masahiro Yukawa, Masao Yamagishi, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).