Masahiro Yukawa

Orcid: 0000-0002-3709-275X

According to our database1, Masahiro Yukawa authored at least 126 papers between 2004 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Linearly-Involved Moreau-Enhanced-Over-Subspace Model: Debiased Sparse Modeling and Stable Outlier-Robust Regression.
IEEE Trans. Signal Process., 2023

Sparse Stable Outlier-Robust Signal Recovery Under Gaussian Noise.
IEEE Trans. Signal Process., 2023

Robust Online Multiuser Detection: A Hybrid Model-Data Driven Approach.
IEEE Trans. Signal Process., 2023

Learning Sparse Graph with Minimax Concave Penalty under Gaussian Markov Random Fields.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2023

Distributed Convex Optimization "Over-the-Air" in Dynamic Environments.
CoRR, 2023

Distributed Stable Outlier-Robust Signal Recovery using Minimax Concave Loss.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Online Kernel-Based Quantile Regression Using Huberized Pinball Loss.
Proceedings of the 31st European Signal Processing Conference, 2023

Multiple Sound Source Tracking Based on Generative Modeling and Recursive Bayesian Filtering of Spatial Gradient Spectra.
Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2023

2022
Distributed Sparse Optimization With Weakly Convex Regularizer: Consensus Promoting and Approximate Moreau Enhanced Penalties Towards Global Optimality.
IEEE Trans. Signal Inf. Process. over Networks, 2022

Relaxed zero-forcing beamformer under temporally-correlated interference.
Signal Process., 2022

On Grouping Effect of Sparse Stable Outlier-Robust Regression.
Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022

Sparse Stable Outlier-Robust Regression with Minimax Concave Function.
Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022

Stable Robust Regression under Sparse Outlier and Gaussian Noise.
Proceedings of the 30th European Signal Processing Conference, 2022

Efficient Robust Graph Learning Based on Minimax Concave Penalty and $\gamma$-Cross Entropy.
Proceedings of the 30th European Signal Processing Conference, 2022

Distributed Sparse Optimization Based on Minimax Concave and Consensus Promoting Penalties: Towards Global Optimality.
Proceedings of the 30th European Signal Processing Conference, 2022

2021
Robust Recovery of Jointly-Sparse Signals Using Minimax Concave Loss Function.
IEEE Trans. Signal Process., 2021

Kernel Weights for Equalizing Kernel-Wise Convergence Rates of Multikernel Adaptive Filtering.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2021

Joint Learning of Model Parameters and Coefficients for Online Nonlinear Estimation.
IEEE Access, 2021

Distributed Sparse Optimization With Minimax Concave Regularization.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2021

Outlier-Robust Kernel Hierarchical-Optimization RLS on a Budget with Affine Constraints.
Proceedings of the IEEE International Conference on Acoustics, 2021

A Graph Learning Algorithm Based On Gaussian Markov Random Fields And Minimax Concave Penalty.
Proceedings of the IEEE International Conference on Acoustics, 2021

A Hilbertian Projection Approach with Dictionary Dividing Strategy: Accelerating Nonlinear Estimation Algorithm with Multiscale Gaussians.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021

2020
RIJP at SemEval-2020 Task 1: Gaussian-based Embeddings for Semantic Change Detection.
Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020

Steepening Squared Error Function Facilitates Online Adaptation of Gaussian Scales.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Normalized Least-Mean-Square Algorithms with Minimax Concave Penalty.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Robust Jointly-Sparse Signal Recovery Based on Minimax Concave Loss Function.
Proceedings of the 28th European Signal Processing Conference, 2020

2019
Projection-Based Regularized Dual Averaging for Stochastic Optimization.
IEEE Trans. Signal Process., 2019

Online Learning with Self-tuned Gaussian Kernels: Good Kernel-initialization by Multiscale Screening.
Proceedings of the IEEE International Conference on Acoustics, 2019

Beamformer Design under Time-correlated Interference and Online Implementation: Brain-activity Reconstruction from EEG.
Proceedings of the IEEE International Conference on Acoustics, 2019

Convolutional-sparse-coded Dynamic Mode Decomposition and Its Application to River State Estimation.
Proceedings of the IEEE International Conference on Acoustics, 2019

Automatic Kernel Weighting for Multikernel Adaptive Filtering: Multiscale Aspects.
Proceedings of the IEEE International Conference on Acoustics, 2019

Online Multiscale-Data Classification Based on Multikernel Adaptive Filtering with Application to Sentiment Analysis.
Proceedings of the 27th European Signal Processing Conference, 2019

2018
Distributed Adaptive Learning With Multiple Kernels in Diffusion Networks.
IEEE Trans. Signal Process., 2018

Online Nonlinear Estimation via Iterative L<sup>2</sup>-Space Projections: Reproducing Kernel of Subspace.
IEEE Trans. Signal Process., 2018

Supervised nonnegative matrix factorization via minimization of regularized Moreau-envelope of divergence function with application to music transcription.
J. Frankl. Inst., 2018

Continuous-time Value Function Approximation in Reproducing Kernel Hilbert Spaces.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Detection for 5G-NOMA: An Online Adaptive Machine Learning Approach.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

How are the Centered Kernel Principal Components Relevant to Regression Task? -An Exact Analysis.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

A Hybrid Dictionary Approach for Distributed Kernel Adaptive Filtering in Diffusion Networks.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Joint Separation and Dereverberation of Reverberant Mixtures with Determined Multichannel Non-Negative Matrix Factorization.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Automatic Shrinkage Tuning Robust to Input Correlation for Sparsity-Aware Adaptive Filtering.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Spectral Clustering with Automatic Cluster-Number Identification via Finding Sparse Eigenvectors.
Proceedings of the 26th European Signal Processing Conference, 2018

A Fixed-Point Analysis of Regularized Dual Averaging Under Static Scenarios.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018

2017
Online Model-Selection and Learning for Nonlinear Estimation Based on Multikernel Adaptive Filtering.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2017

Distributed nonlinear regression using in-network processing with multiple Gaussian kernels.
Proceedings of the 18th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2017

Automatic shrinkage tuning based on a system-mismatch estimate for sparsity-aware adaptive filtering.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Projection-based dual averaging for stochastic sparse optimization.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Complex NMF with the generalized Kullback-Leibler divergence.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

A majorization-minimization algorithm with projected gradient updates for time-domain spectrogram factorization.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Online learning in L<sup>2</sup> space with multiple Gaussian kernels.
Proceedings of the 25th European Signal Processing Conference, 2017

2016
Kernel-Based Adaptive Online Reconstruction of Coverage Maps With Side Information.
IEEE Trans. Veh. Technol., 2016

Efficient Dictionary-Refining Kernel Adaptive Filter With Fundamental Insights.
IEEE Trans. Signal Process., 2016

ℓ<sub>p</sub>-Regularized Least Squares (0<p<1) and Critical Path.
IEEE Trans. Inf. Theory, 2016

Why Does a Hilbertian Metric Work Efficiently in Online Learning With Kernels?
IEEE Signal Process. Lett., 2016

A better metric in kernel adaptive filtering.
Proceedings of the 24th European Signal Processing Conference, 2016

Supervised nonnegative matrix factorization with Dual-Itakura-Saito and Kullback-Leibler divergences for music transcription.
Proceedings of the 24th European Signal Processing Conference, 2016

2015
Adaptive Learning in Cartesian Product of Reproducing Kernel Hilbert Spaces.
IEEE Trans. Signal Process., 2015

Adaptive Nonlinear Estimation Based on Parallel Projection Along Affine Subspaces in Reproducing Kernel Hilbert Space.
IEEE Trans. Signal Process., 2015

Online learning based on iterative projections in sum space of linear and Gaussian reproducing kernel Hilbert spaces.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

An efficient kernel normalized least mean square algorithm with compactly supported kernel.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

A stochastic behavior analysis of stochastic restricted-gradient descent algorithm in reproducing kernel hilbert spaces.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Supervised nonnegative matrix factorization using active-period-aware structured ℓ1-norm for music transcription.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2015

2014
Can Critical-Point Paths Under ℓ<sub>p</sub>-Regularization (0<p<1) Reach the Sparsest Least Squares Solutions?
IEEE Trans. Inf. Theory, 2014

An Efficient Adaptive Filtering Scheme Based on Combining Multiple Metrics.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2014

Shrinkage tuning based on an unbiased MSE estimate for sparsity-aware adaptive filtering.
Proceedings of the IEEE International Conference on Acoustics, 2014

An efficient sparse kernel adaptive filtering algorithm based on isomorphism between functional subspace and Euclidean space.
Proceedings of the IEEE International Conference on Acoustics, 2014

On Kernel design for online model selection by Gaussian multikernel adaptive filtering.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2014

2013
Dual-Domain Adaptive Beamformer Under Linearly and Quadratically Constrained Minimum Variance.
IEEE Trans. Signal Process., 2013

Coordinated Beamforming With Relaxed Zero Forcing: The Sequential Orthogonal Projection Combining Method and Rate Control.
IEEE Trans. Signal Process., 2013

Minkovskian Gradient for Sparse Optimization.
IEEE J. Sel. Top. Signal Process., 2013

Image Restoration with Multiple DirLOTs.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2013

Lp-Regularized Least Squares (0<p<1) and Critical Path
CoRR, 2013

Robust Reduced-Rank Adaptive Processing Based on Parallel Subgradient Projection and Krylov Subspace Techniques.
CoRR, 2013

A Sparsity-Based Design of Regularization Parameter for Adaptive Proximal Forward-Backward Splitting Algorithm.
Proceedings of the ISWCS 2013, 2013

An efficient data-reusing kernel adaptive filtering algorithm based on Parallel HYperslab Projection along Affine Subspaces.
Proceedings of the IEEE International Conference on Acoustics, 2013

A sparse optimization approach to supervised NMF based on convex analytic method.
Proceedings of the IEEE International Conference on Acoustics, 2013

Online model selection and learning by multikernel adaptive filtering.
Proceedings of the 21st European Signal Processing Conference, 2013

On adaptivity of online model selection method based on multikernel adaptive filtering.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2013

A reconsideration of improved PNLMS algorithm from metric combining viewpoint.
Proceedings of the 2013 Asilomar Conference on Signals, 2013

Widely linear LQCMV beamformer and augmented dual-domain adaptive algorithm.
Proceedings of the 9th International Conference on Information, 2013

2012
Multikernel Adaptive Filtering.
IEEE Trans. Signal Process., 2012

Coordinate Beamforming with Relaxed Zero Forcing: The Sequential Orthogonal Projection Combining Method and Rate Control
CoRR, 2012

Nonlinear channel equalization by multi-kernel adaptive filter.
Proceedings of the 13th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2012

ℓp-constrained least squares (0 < p < 1) and its critical path.
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

Sparsity-aware adaptive filters based on ℓp-norm inspired soft-thresholding technique.
Proceedings of the 2012 IEEE International Symposium on Circuits and Systems, 2012

An efficient kernel adaptive filtering algorithm using hyperplane projection along affine subspace.
Proceedings of the 20th European Signal Processing Conference, 2012

Image restoration with union of directional orthonormal DWTs.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2012

Color-tone similarity on digital images.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2012

2011
Coordinated beamforming with relaxed zero forcing.
Proceedings of the 2011 International Conference on Wireless Communications & Signal Processing, 2011

Adaptive beamforming by simultaneous projection in dual domains.
Proceedings of the 7th International Workshop on Multidimensional (nD) Systems, 2011

Acceleration of adaptive proximal forward-backward splitting method and its application to sparse system identification.
Proceedings of the IEEE International Conference on Acoustics, 2011

A deterministic analysis of linearly constrained adaptive filtering algorithms.
Proceedings of the 19th European Signal Processing Conference, 2011

Nonlinear adaptive filtering techniques with multiple kernels.
Proceedings of the 19th European Signal Processing Conference, 2011

Rank-selection criterion for Krylov-subspace-based adaptive filtering techniques.
Proceedings of the 8th International Conference on Information, 2011

Minimizing the Moreau Envelope of Nonsmooth Convex Functions over the Fixed Point Set of Certain Quasi-Nonexpansive Mappings.
Proceedings of the Fixed-Point Algorithms for Inverse Problems in Science and Engineering, 2011

2010
Adaptive reduced-rank constrained constant modulus algorithms based on joint iterative optimization of filters for beamforming.
IEEE Trans. Signal Process., 2010

A Fast Stochastic Gradient Algorithm: Maximal Use of Sparsification Benefits under Computational Constraints.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2010

Multi-Domain Adaptive Learning Based on Feasibility Splitting and Adaptive Projected Subgradient Method.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2010

A deterministic analysis of variable-metric adaptive filtering algorithms under small metric-fluctuations.
Proceedings of the IEEE International Conference on Acoustics, 2010

Minimal antenna-subset selection under capacity constraint for power-efficient MIMO systems: A relaxed <i>l</i>1 minimization approach.
Proceedings of the IEEE International Conference on Acoustics, 2010

Multi-domain adaptive filtering by feasibility splitting.
Proceedings of the IEEE International Conference on Acoustics, 2010

A sparse adaptive filtering using time-varying soft-thresholding techniques.
Proceedings of the IEEE International Conference on Acoustics, 2010

2009
Robust reduced-rank adaptive algorithm based on parallel subgradient projection and Krylov subspace.
IEEE Trans. Signal Process., 2009

Krylov-Proportionate Adaptive Filtering Techniques Not Limited to Sparse Systems.
IEEE Trans. Signal Process., 2009

A Unified View of Adaptive Variable-Metric Projection Algorithms.
EURASIP J. Adv. Signal Process., 2009

Signal processing in dual domain by adaptive projected subgradient method.
Proceedings of the 16th International Conference on Digital Signal Processing, 2009

Proportionate adaptive algorithm for nonsparse systems based on Krylov subspace and constrained optimization.
Proceedings of the IEEE International Conference on Acoustics, 2009

2008
Efficient Acoustic Echo Cancellation With Reduced-Rank Adaptive Filtering Based on Selective Decimation and Adaptive Interpolation.
IEEE Trans. Speech Audio Process., 2008

Employing LSF at Transmitter Eases MMSE Adaptation at Receiver in Asynchronous CDMA Systems.
EURASIP J. Wirel. Commun. Netw., 2008

Krylov-proportionate NLMS algorithm based on multistage Wiener filter representation.
Proceedings of the IEEE International Conference on Acoustics, 2008

2007
Adaptive Parallel Quadratic-Metric Projection Algorithms.
IEEE Trans. Speech Audio Process., 2007

Acoustic Echo Cancellation with Reduced-Rank Adaptive Interpolated Filter Based on Parallel-Branch Diversity Decimation.
Proceedings of the 15th International Conference on Digital Signal Processing, 2007

Adaptive Parallel Variable-Metric Projection Algorithm -An Application to Acoustic Echo Cancellation.
Proceedings of the IEEE International Conference on Acoustics, 2007

2006
Pairwise Optimal Weight Realization - Acceleration Technique for Set-Theoretic Adaptive Parallel Subgradient Projection Algorithm.
IEEE Trans. Signal Process., 2006

An Efficient Distributed Power Control for Infeasible Downlink Scenarios - Global-Local Fixed-Point-Approximation Technique.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2006

Efficient Fast Stereo Acoustic Echo Cancellation Based on Pairwise Optimal Weight Realization Technique.
EURASIP J. Adv. Signal Process., 2006

Adaptive projected subgradient method and its applications to robust signal processing.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2006), 2006

Adaptive Beamforming by Constrained Parallel Projection in the Presence of Spatially-Correlated Interferences.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

An Efficient Heuristic Approach to the Infeasible Downlink Power Control Problem.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Robust Capon Beamforming by the Adaptive Projected Subgradient Method.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Adaptive quadratic-metric parallel subgradient projection algorithm and its application to acoustic echo cancellation.
Proceedings of the 14th European Signal Processing Conference, 2006

2005
Efficient Blind MAI Suppression in DS/CDMA Systems by Embedded Constraint Parallel Projection Techniques.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2005

Efficient adaptive blind MAI suppression in DS/CDMA by embedded constraint parallel projection techniques.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Set-theoretic DS/CDMA receivers for fading channels by adaptive projected subgradient method.
Proceedings of the Global Telecommunications Conference, 2005. GLOBECOM '05, St. Louis, Missouri, USA, 28 November, 2005

An efficient fast stereo echo canceler by pairwise optimal weight realization technique.
Proceedings of the 13th European Signal Processing Conference, 2005

2004
Acceleration of adaptive parallel projection algorithms by Pairwise Optimal WEight Realization.
Proceedings of the 2004 12th European Signal Processing Conference, 2004


  Loading...