Name
Affiliation
Papers
MASAHIRO YUKAWA
Department of Electrical and Electronic Engineering, Niigata University, Niigata, Japan
67
Collaborators
Citations 
PageRank 
54
272
30.44
Referers 
Referees 
References 
325
647
652
Search Limit
100647
Title
Citations
PageRank
Year
Kernel Weights For Equalizing Kernel-Wise Convergence Rates Of Multikernel Adaptive Filtering00.342021
Distributed Sparse Optimization With Minimax Concave Regularization10.352021
Robust Jointly-Sparse Signal Recovery Based On Minimax Concave Loss Function00.342020
Online Multiscale-Data Classification Based On Multikernel Adaptive Filtering With Application To Sentiment Analysis00.342019
Projection-Based Regularized Dual Averaging for Stochastic Optimization.00.342019
Spectral Clustering with Automatic Cluster-Number Identification via Finding Sparse Eigenvectors.00.342018
Supervised nonnegative matrix factorization via minimization of regularized Moreau-envelope of divergence function with application to music transcription.00.342018
A Fixed-Point Analysis of Regularized Dual Averaging Under Static Scenarios00.342018
Distributed Adaptive Learning With Multiple Kernels in Diffusion Networks.10.382018
Online learning in L2 space with multiple Gaussian kernels.00.342017
Online Model-Selection And Learning For Nonlinear Estimation Based On Multikernel Adaptive Filtering00.342017
A better metric in kernel adaptive filtering.00.342016
ℓp-Regularized Least Squares (0<p<1) and Critical Path.00.342016
Why Does a Hilbertian Metric Work Efficiently in Online Learning With Kernels?20.362016
Supervised nonnegative matrix factorization with Dual-Itakura-Saito and Kullback-Leibler divergences for music transcription.00.342016
Efficient Dictionary-Refining Kernel Adaptive Filter With Fundamental Insights.60.432016
Supervised nonnegative matrix factorization using active-period-aware structured ℓ1-norm for music transcription.00.342015
Can Critical-Point Paths Under ${\ell}_{{p}}$ -Regularization $(0<p<1)$ Reach the Sparsest Least Squares Solutions?00.342014
Adaptive Learning in Cartesian Product of Reproducing Kernel Hilbert Spaces.100.492014
On Kernel design for online model selection by Gaussian multikernel adaptive filtering20.372014
An Efficient Adaptive Filtering Scheme Based On Combining Multiple Metrics10.352014
Kernel-Based Adaptive Online Reconstruction of Coverage Maps With Side Information.140.672014
Lp-Regularized Least Squares (0&lt;p&lt;1) and Critical Path00.342013
On adaptivity of online model selection method based on multikernel adaptive filtering.40.472013
Dual-Domain Adaptive Beamformer Under Linearly and Quadratically Constrained Minimum Variance60.462013
Image Restoration With Multiple Dirlots20.432013
Coordinated Beamforming With Relaxed Zero Forcing: The Sequential Orthogonal Projection Combining Method and Rate Control170.722013
Minkovskian Gradient for Sparse Optimization20.442013
Robust Reduced-Rank Adaptive Processing Based on Parallel Subgradient Projection and Krylov Subspace Techniques.00.342013
A sparse optimization approach to supervised NMF based on convex analytic method30.452013
A reconsideration of improved PNLMS algorithm from metric combining viewpoint10.362013
A Sparsity-Based Design of Regularization Parameter for Adaptive Proximal Forward-Backward Splitting Algorithm.00.342013
An efficient data-reusing kernel adaptive filtering algorithm based on Parallel HYperslab Projection along Affine Subspaces50.492013
Online Model Selection And Learning By Multikernel Adaptive Filtering100.562013
Color-tone similarity on digital images.40.432013
Widely linear LQCMV beamformer and augmented dual-domain adaptive algorithm10.362013
Multikernel Adaptive Filtering100.542012
An efficient kernel adaptive filtering algorithm using hyperplane projection along affine subspace80.542012
Image restoration with union of directional orthonormal DWTs.30.462012
Sparsity-aware adaptive filters based on ℓp-norm inspired soft-thresholding technique00.342012
Coordinated beamforming with relaxed zero forcing.40.472011
A deterministic analysis of linearly constrained adaptive filtering algorithms30.472011
Acceleration of adaptive proximal forward-backward splitting method and its application to sparse system identification100.582011
Nonlinear adaptive filtering techniques with multiple kernels80.572011
Rank-selection criterion for Krylov-subspace-based adaptive filtering techniques10.352011
Adaptive Reduced-Rank Constrained Constant Modulus Algorithms Based on Joint Iterative Optimization of Filters for Beamforming250.862010
Multi-Domain Adaptive Learning Based On Feasibility Splitting And Adaptive Projected Subgradient Method100.772010
Minimal antenna-subset selection under capacity constraint for power-efficient MIMO systems: A relaxed l1 minimization approach.00.342010
A deterministic analysis of variable-metric adaptive filtering algorithms under small metric-fluctuations00.342010
A Fast Stochastic Gradient Algorithm: Maximal Use Of Sparsification Benefits Under Computational Constraints10.352010
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