Masahiro Yukawa

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 63

Top Venues

ICASSP

IEEE Trans. Signal Process.

EUSIPCO

CoRR

Publications

Kyohei Suzuki, Masahiro Yukawa
External Division of Two Proximity Operators: An Application to Signal Recovery with Structured Sparsity. ICASSP (2024)
Chengcheng Wang, Ye Wei, Masahiro Yukawa
Dispersed-sparsity-aware LMS algorithm for scattering-sparse system identification. Signal Process. 225 (2024)
Navneet Agrawal, Renato Luís Garrido Cavalcante, Masahiro Yukawa, Slawomir Stanczak
Distributed Convex Optimization "Over-the-Air" in Dynamic Environments. IEEE Trans. Signal Inf. Process. over Networks 10 (2024)
Maximilian H. V. Tillmann, Masahiro Yukawa
Distributed Stable Outlier-Robust Signal Recovery using Minimax Concave Loss. MLSP (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 Trans. Signal Process. 71 (2023)
Keisuke Takazawa, Hirokazu Kameoka, Masahiro Yukawa
Multiple Sound Source Tracking Based on Generative Modeling and Recursive Bayesian Filtering of Spatial Gradient Spectra. APSIPA ASC (2023)
Kyohei Suzuki, Masahiro Yukawa
Sparse Stable Outlier-Robust Signal Recovery Under Gaussian Noise. IEEE Trans. Signal Process. 71 (2023)
Daniyal Amir Awan, Renato Luís Garrido Cavalcante, Masahiro Yukawa, Slawomir Stanczak
Robust Online Multiuser Detection: A Hybrid Model-Data Driven Approach. IEEE Trans. Signal Process. 71 (2023)
Navneet Agrawal, Renato L. G. Cavalcante, Masahiro Yukawa, Slawomir Stanczak
Distributed Convex Optimization "Over-the-Air" in Dynamic Environments. CoRR (2023)
Tatsuya Koyakumaru, Masahiro Yukawa, Eduardo Pavez, Antonio Ortega
Learning Sparse Graph with Minimax Concave Penalty under Gaussian Markov Random Fields. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 106 (1) (2023)
Takumi Ichinose, Masahiro Yukawa, Renato L. G. Cavalcante
Online Kernel-Based Quantile Regression Using Huberized Pinball Loss. EUSIPCO (2023)
Masahiro Yukawa, Kyohei Suzuki, Isao Yamada
Stable Robust Regression under Sparse Outlier and Gaussian Noise. EUSIPCO (2022)
Kei Komuro, Masahiro Yukawa, Renato L. G. Cavalcante
Distributed Sparse Optimization Based on Minimax Concave and Consensus Promoting Penalties: Towards Global Optimality. EUSIPCO (2022)
Kei Komuro, Masahiro Yukawa, Renato Luís Garrido Cavalcante
Distributed Sparse Optimization With Weakly Convex Regularizer: Consensus Promoting and Approximate Moreau Enhanced Penalties Towards Global Optimality. IEEE Trans. Signal Inf. Process. over Networks 8 (2022)
Tatsuya Koyakumaru, Masahiro Yukawa
Efficient Robust Graph Learning Based on Minimax Concave Penalty and $\gamma$-Cross Entropy. EUSIPCO (2022)
Takehiro Kono, Masahiro Yukawa, Tomasz Piotrowski
Relaxed zero-forcing beamformer under temporally-correlated interference. Signal Process. 190 (2022)
Kyohei Suzuki, Masahiro Yukawa
Sparse Stable Outlier-Robust Regression with Minimax Concave Function. MLSP (2022)
Kyohei Suzuki, Masahiro Yukawa
On Grouping Effect of Sparse Stable Outlier-Robust Regression. MLSP (2022)
Kyohei Suzuki, Masahiro Yukawa
Robust Recovery of Jointly-Sparse Signals Using Minimax Concave Loss Function. IEEE Trans. Signal Process. 69 (2021)
Masa-aki Takizawa, Masahiro Yukawa
Joint Learning of Model Parameters and Coefficients for Online Nonlinear Estimation. IEEE Access 9 (2021)
Kei Komuro, Masahiro Yukawa, Renato L. G. Cavalcante
Distributed Sparse Optimization With Minimax Concave Regularization. SSP (2021)
Masa-aki Takizawa, Masahiro Yukawa
A Hilbertian Projection Approach with Dictionary Dividing Strategy: Accelerating Nonlinear Estimation Algorithm with Multiscale Gaussians. APSIPA ASC (2021)
Kwangjin Jeong, Masahiro Yukawa
Kernel Weights for Equalizing Kernel-Wise Convergence Rates of Multikernel Adaptive Filtering. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (6) (2021)
Tatsuya Koyakumaru, Masahiro Yukawa, Eduardo Pavez, Antonio Ortega
Learning Sparse Graph with Minimax Concave Penalty under Gaussian Markov Random Fields. CoRR (2021)
Konstantinos Slavakis, Masahiro Yukawa
Outlier-Robust Kernel Hierarchical-Optimization RLS on a Budget with Affine Constraints. ICASSP (2021)
Takehiro Kono, Masahiro Yukawa, Tomasz Piotrowski
Relaxed Zero-Forcing Beamformer under Temporally-Correlated Interference. CoRR (2021)
Tatsuya Koyakumaru, Masahiro Yukawa, Eduardo Pavez, Antonio Ortega
A Graph Learning Algorithm Based On Gaussian Markov Random Fields And Minimax Concave Penalty. ICASSP (2021)
Ran Iwamoto, Masahiro Yukawa
RIJP at SemEval-2020 Task 1: Gaussian-based Embeddings for Semantic Change Detection. SemEval@COLING (2020)
Hiroyuki Kaneko, Masahiro Yukawa
Normalized Least-Mean-Square Algorithms with Minimax Concave Penalty. ICASSP (2020)
Masa-aki Takizawa, Masahiro Yukawa
Steepening Squared Error Function Facilitates Online Adaptation of Gaussian Scales. ICASSP (2020)
Kyohei Suzuki, Masahiro Yukawa
Robust Jointly-Sparse Signal Recovery Based on Minimax Concave Loss Function. EUSIPCO (2020)
Takehiro Kono, Masahiro Yukawa, Tomasz Piotrowski
Beamformer Design under Time-correlated Interference and Online Implementation: Brain-activity Reconstruction from EEG. ICASSP (2019)
Kwangjin Jeong, Masahiro Yukawa
Automatic Kernel Weighting for Multikernel Adaptive Filtering: Multiscale Aspects. ICASSP (2019)
Masa-aki Takizawa, Masahiro Yukawa
Online Learning with Self-tuned Gaussian Kernels: Good Kernel-initialization by Multiscale Screening. ICASSP (2019)
Yu Kaneko, Shogo Muramatsu, Hiroyasu Yasuda, Kiyoshi Hayasaka, Y. Otake, Shunsuke Ono, Masahiro Yukawa
Convolutional-sparse-coded Dynamic Mode Decomposition and Its Application to River State Estimation. ICASSP (2019)
Asahi Ushio, Masahiro Yukawa
Projection-Based Regularized Dual Averaging for Stochastic Optimization. IEEE Trans. Signal Process. 67 (10) (2019)
Ran Iwamoto, Masahiro Yukawa
Online Multiscale-Data Classification Based on Multikernel Adaptive Filtering with Application to Sentiment Analysis. EUSIPCO (2019)
Ban-Sok Shin, Masahiro Yukawa, Renato Luís Garrido Cavalcante, Armin Dekorsy
Distributed Adaptive Learning With Multiple Kernels in Diffusion Networks. IEEE Trans. Signal Process. 66 (21) (2018)
Ban-Sok Shin, Masahiro Yukawa, Renato L. G. Cavalcante, Armin Dekorsy
A Hybrid Dictionary Approach for Distributed Kernel Adaptive Filtering in Diffusion Networks. ICASSP (2018)
Hideaki Kagami, Hirokazu Kameoka, Masahiro Yukawa
Joint Separation and Dereverberation of Reverberant Mixtures with Determined Multichannel Non-Negative Matrix Factorization. ICASSP (2018)
Motoya Ohnishi, Masahiro Yukawa, Mikael Johansson, Masashi Sugiyama
Continuous-time Value Function Approximation in Reproducing Kernel Hilbert Spaces. CoRR (2018)
Masahiro Yukawa, Klaus-Robert Müller, Yuto Ogino
How are the Centered Kernel Principal Components Relevant to Regression Task? -An Exact Analysis. ICASSP (2018)
Yuto Ogino, Masahiro Yukawa
Spectral Clustering with Automatic Cluster-Number Identification via Finding Sparse Eigenvectors. EUSIPCO (2018)
Masahiro Yukawa, Hideaki Kagami
Supervised nonnegative matrix factorization via minimization of regularized Moreau-envelope of divergence function with application to music transcription. J. Frankl. Inst. 355 (4) (2018)
Motoya Ohnishi, Masahiro Yukawa
-Space Projections: Reproducing Kernel of Subspace. IEEE Trans. Signal Process. 66 (15) (2018)
Daniyal Amir Awan, Renato L. G. Cavalcante, Masahiro Yukawa, Slawomir Stanczak
Detection for 5G-NOMA: An Online Adaptive Machine Learning Approach. ICC (2018)
Motoya Ohnishi, Masahiro Yukawa, Mikael Johansson, Masashi Sugiyama
Continuous-time Value Function Approximation in Reproducing Kernel Hilbert Spaces. NeurIPS (2018)
Masahiro Yukawa, Isao Yamada
A Fixed-Point Analysis of Regularized Dual Averaging Under Static Scenarios. APSIPA (2018)
Kwangjin Jeong, Masahiro Yukawa, Masao Yamagishi, Isao Yamada
Automatic Shrinkage Tuning Robust to Input Correlation for Sparsity-Aware Adaptive Filtering. ICASSP (2018)
Masao Yamagishi, Masahiro Yukawa, Isao Yamada
Automatic shrinkage tuning based on a system-mismatch estimate for sparsity-aware adaptive filtering. ICASSP (2017)
Asahi Ushio, Masahiro Yukawa
Projection-based dual averaging for stochastic sparse optimization. ICASSP (2017)
Osamu Toda, Masahiro Yukawa
Online Model-Selection and Learning for Nonlinear Estimation Based on Multikernel Adaptive Filtering. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (1) (2017)
Motoya Ohnishi, Masahiro Yukawa
space with multiple Gaussian kernels. EUSIPCO (2017)
Daniyal Amir Awan, Renato L. G. Cavalcante, Masahiro Yukawa, Slawomir Stanczak
Detection for 5G-NOMA: An Online Adaptive Machine Learning Approach. CoRR (2017)
Hideaki Kagami, Hirokazu Kameoka, Masahiro Yukawa
A majorization-minimization algorithm with projected gradient updates for time-domain spectrogram factorization. ICASSP (2017)
Hirokazu Kameoka, Hideaki Kagami, Masahiro Yukawa
Complex NMF with the generalized Kullback-Leibler divergence. ICASSP (2017)
Ban-Sok Shin, Henning Paul, Masahiro Yukawa, Armin Dekorsy
Distributed nonlinear regression using in-network processing with multiple Gaussian kernels. SPAWC (2017)
Masahiro Yukawa, Shun-ichi Amari
-Regularized Least Squares (0<p<1) and Critical Path. IEEE Trans. Inf. Theory 62 (1) (2016)
Martin Kasparick, Renato L. G. Cavalcante, Stefan Valentin, Slawomir Stanczak, Masahiro Yukawa
Kernel-Based Adaptive Online Reconstruction of Coverage Maps With Side Information. IEEE Trans. Veh. Technol. 65 (7) (2016)
Masahiro Yukawa, Klaus-Robert Müller
Why Does a Hilbertian Metric Work Efficiently in Online Learning With Kernels? IEEE Signal Process. Lett. 23 (10) (2016)
Airi Takeuchi, Masahiro Yukawa, Klaus-Robert Müller
A better metric in kernel adaptive filtering. EUSIPCO (2016)
Masa-aki Takizawa, Masahiro Yukawa
Efficient Dictionary-Refining Kernel Adaptive Filter With Fundamental Insights. IEEE Trans. Signal Process. 64 (16) (2016)
Hideaki Kagami, Masahiro Yukawa
Supervised nonnegative matrix factorization with Dual-Itakura-Saito and Kullback-Leibler divergences for music transcription. EUSIPCO (2016)
Masahiro Yukawa
Adaptive Learning in Cartesian Product of Reproducing Kernel Hilbert Spaces. IEEE Trans. Signal Process. 63 (22) (2015)
Masa-aki Takizawa, Masahiro Yukawa, Cédric Richard
A stochastic behavior analysis of stochastic restricted-gradient descent algorithm in reproducing kernel hilbert spaces. ICASSP (2015)
Osamu Toda, Masahiro Yukawa
An efficient kernel normalized least mean square algorithm with compactly supported kernel. ICASSP (2015)
Masahiro Yukawa
Online learning based on iterative projections in sum space of linear and Gaussian reproducing kernel Hilbert spaces. ICASSP (2015)
Yu Morikawa, Masahiro Yukawa, Hisakazu Kikuchi
Supervised nonnegative matrix factorization using active-period-aware structured ℓ1-norm for music transcription. APSIPA (2015)
Masa-aki Takizawa, Masahiro Yukawa
Adaptive Nonlinear Estimation Based on Parallel Projection Along Affine Subspaces in Reproducing Kernel Hilbert Space. IEEE Trans. Signal Process. 63 (16) (2015)
Masa-aki Takizawa, Masahiro Yukawa
An efficient sparse kernel adaptive filtering algorithm based on isomorphism between functional subspace and Euclidean space. ICASSP (2014)
Martin Kasparick, Renato L. G. Cavalcante, Stefan Valentin, Slawomir Stanczak, Masahiro Yukawa
Kernel-Based Adaptive Online Reconstruction of Coverage Maps With Side Information. CoRR (2014)
Osamu Toda, Masahiro Yukawa, Shigenobu Sasaki, Hisakazu Kikuchi
An Efficient Adaptive Filtering Scheme Based on Combining Multiple Metrics. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (3) (2014)
Masao Yamagishi, Masahiro Yukawa, Isao Yamada
Shrinkage tuning based on an unbiased MSE estimate for sparsity-aware adaptive filtering. ICASSP (2014)
Kwangjin Jeong, Masahiro Yukawa, Shun-ichi Amari
-Regularization (0<p<1) Reach the Sparsest Least Squares Solutions? IEEE Trans. Inf. Theory 60 (5) (2014)
Masahiro Yukawa
Adaptive Learning in Cartesian Product of Reproducing Kernel Hilbert Spaces. CoRR (2014)
Masa-aki Takizawa, Masahiro Yukawa, Cédric Richard
A stochastic behavior analysis of stochastic restricted-gradient descent algorithm in reproducing kernel Hilbert spaces. CoRR (2014)
Osamu Toda, Masahiro Yukawa
On Kernel design for online model selection by Gaussian multikernel adaptive filtering. APSIPA (2014)
Masahiro Yukawa, Yuki Saito
Widely linear LQCMV beamformer and augmented dual-domain adaptive algorithm. ICICS (2013)
Juho Park, Gilwon Lee, Youngchul Sung, Masahiro Yukawa
Coordinated Beamforming With Relaxed Zero Forcing: The Sequential Orthogonal Projection Combining Method and Rate Control. IEEE Trans. Signal Process. 61 (12) (2013)
Masahiro Yukawa, Ryu-ichiro Ishii
Online model selection and learning by multikernel adaptive filtering. EUSIPCO (2013)
Yu Morikawa, Masahiro Yukawa
A sparse optimization approach to supervised NMF based on convex analytic method. ICASSP (2013)
Natsuki Aizawa, Shogo Muramatsu, Masahiro Yukawa
Image Restoration with Multiple DirLOTs. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (10) (2013)
Masahiro Yukawa, Yuta Tawara, Shigenobu Sasaki, Isao Yamada
A Sparsity-Based Design of Regularization Parameter for Adaptive Proximal Forward-Backward Splitting Algorithm. ISWCS (2013)
Masa-aki Takizawa, Masahiro Yukawa
An efficient data-reusing kernel adaptive filtering algorithm based on Parallel HYperslab Projection along Affine Subspaces. ICASSP (2013)
Rodrigo Caiado de Lamare, Masahiro Yukawa, Isao Yamada
Robust Reduced-Rank Adaptive Processing Based on Parallel Subgradient Projection and Krylov Subspace Techniques. CoRR (2013)
Shun-ichi Amari, Masahiro Yukawa
Minkovskian Gradient for Sparse Optimization. IEEE J. Sel. Top. Signal Process. 7 (4) (2013)
Osamu Toda, Masahiro Yukawa
A reconsideration of improved PNLMS algorithm from metric combining viewpoint. ACSSC (2013)
Masahiro Yukawa, Ryu-ichiro Ishii
On adaptivity of online model selection method based on multikernel adaptive filtering. APSIPA (2013)
Masahiro Yukawa, Shun-ichi Amari
Lp-Regularized Least Squares (0<p<1) and Critical Path CoRR (2013)
Masahiro Yukawa, Youngchul Sung, Gilwon Lee
Dual-Domain Adaptive Beamformer Under Linearly and Quadratically Constrained Minimum Variance. IEEE Trans. Signal Process. 61 (11) (2013)
Masahiro Yukawa
Multikernel Adaptive Filtering. IEEE Trans. Signal Process. 60 (9) (2012)
Masahiro Yukawa, Ryu-ichiro Ishii
An efficient kernel adaptive filtering algorithm using hyperplane projection along affine subspace. EUSIPCO (2012)
Masahiro Yukawa, Shun-ichi Amari
ℓp-constrained least squares (0 < p < 1) and its critical path. ISIT (2012)
Hisakazu Kikuchi, Heikki Huttunen, Junghyeun Hwang, Masahiro Yukawa, Shogo Muramatsu, Jaeho Shin
Color-tone similarity on digital images. APSIPA (2012)
Juho Park, Gilwon Lee, Youngchul Sung, Masahiro Yukawa
Coordinate Beamforming with Relaxed Zero Forcing: The Sequential Orthogonal Projection Combining Method and Rate Control CoRR (2012)
Shogo Muramatsu, Natsuki Aizawa, Masahiro Yukawa
Image restoration with union of directional orthonormal DWTs. APSIPA (2012)
You Nakajima, Masahiro Yukawa
Nonlinear channel equalization by multi-kernel adaptive filter. SPAWC (2012)
Masahiro Yukawa, Yuta Tawara, Masao Yamagishi, Isao Yamada
Sparsity-aware adaptive filters based on ℓp-norm inspired soft-thresholding technique. ISCAS (2012)
Masahiro Yukawa, Isao Yamada
Adaptive beamforming by simultaneous projection in dual domains. nDS (2011)
Masahiro Yukawa
Rank-selection criterion for Krylov-subspace-based adaptive filtering techniques. ICICS (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Masahiro Yukawa