Kernel Weights For Equalizing Kernel-Wise Convergence Rates Of Multikernel Adaptive Filtering | 0 | 0.34 | 2021 |
Distributed Sparse Optimization With Minimax Concave Regularization | 1 | 0.35 | 2021 |
Robust Jointly-Sparse Signal Recovery Based On Minimax Concave Loss Function | 0 | 0.34 | 2020 |
Online Multiscale-Data Classification Based On Multikernel Adaptive Filtering With Application To Sentiment Analysis | 0 | 0.34 | 2019 |
Projection-Based Regularized Dual Averaging for Stochastic Optimization. | 0 | 0.34 | 2019 |
Spectral Clustering with Automatic Cluster-Number Identification via Finding Sparse Eigenvectors. | 0 | 0.34 | 2018 |
Supervised nonnegative matrix factorization via minimization of regularized Moreau-envelope of divergence function with application to music transcription. | 0 | 0.34 | 2018 |
A Fixed-Point Analysis of Regularized Dual Averaging Under Static Scenarios | 0 | 0.34 | 2018 |
Distributed Adaptive Learning With Multiple Kernels in Diffusion Networks. | 1 | 0.38 | 2018 |
Online learning in L2 space with multiple Gaussian kernels. | 0 | 0.34 | 2017 |
Online Model-Selection And Learning For Nonlinear Estimation Based On Multikernel Adaptive Filtering | 0 | 0.34 | 2017 |
A better metric in kernel adaptive filtering. | 0 | 0.34 | 2016 |
ℓp-Regularized Least Squares (0<p<1) and Critical Path. | 0 | 0.34 | 2016 |
Why Does a Hilbertian Metric Work Efficiently in Online Learning With Kernels? | 2 | 0.36 | 2016 |
Supervised nonnegative matrix factorization with Dual-Itakura-Saito and Kullback-Leibler divergences for music transcription. | 0 | 0.34 | 2016 |
Efficient Dictionary-Refining Kernel Adaptive Filter With Fundamental Insights. | 6 | 0.43 | 2016 |
Supervised nonnegative matrix factorization using active-period-aware structured ℓ1-norm for music transcription. | 0 | 0.34 | 2015 |
Can Critical-Point Paths Under ${\ell}_{{p}}$ -Regularization $(0<p<1)$ Reach the Sparsest Least Squares Solutions? | 0 | 0.34 | 2014 |
Adaptive Learning in Cartesian Product of Reproducing Kernel Hilbert Spaces. | 10 | 0.49 | 2014 |
On Kernel design for online model selection by Gaussian multikernel adaptive filtering | 2 | 0.37 | 2014 |
An Efficient Adaptive Filtering Scheme Based On Combining Multiple Metrics | 1 | 0.35 | 2014 |
Kernel-Based Adaptive Online Reconstruction of Coverage Maps With Side Information. | 14 | 0.67 | 2014 |
Lp-Regularized Least Squares (0<p<1) and Critical Path | 0 | 0.34 | 2013 |
On adaptivity of online model selection method based on multikernel adaptive filtering. | 4 | 0.47 | 2013 |
Dual-Domain Adaptive Beamformer Under Linearly and Quadratically Constrained Minimum Variance | 6 | 0.46 | 2013 |
Image Restoration With Multiple Dirlots | 2 | 0.43 | 2013 |
Coordinated Beamforming With Relaxed Zero Forcing: The Sequential Orthogonal Projection Combining Method and Rate Control | 17 | 0.72 | 2013 |
Minkovskian Gradient for Sparse Optimization | 2 | 0.44 | 2013 |
Robust Reduced-Rank Adaptive Processing Based on Parallel Subgradient Projection and Krylov Subspace Techniques. | 0 | 0.34 | 2013 |
A sparse optimization approach to supervised NMF based on convex analytic method | 3 | 0.45 | 2013 |
A reconsideration of improved PNLMS algorithm from metric combining viewpoint | 1 | 0.36 | 2013 |
A Sparsity-Based Design of Regularization Parameter for Adaptive Proximal Forward-Backward Splitting Algorithm. | 0 | 0.34 | 2013 |
An efficient data-reusing kernel adaptive filtering algorithm based on Parallel HYperslab Projection along Affine Subspaces | 5 | 0.49 | 2013 |
Online Model Selection And Learning By Multikernel Adaptive Filtering | 10 | 0.56 | 2013 |
Color-tone similarity on digital images. | 4 | 0.43 | 2013 |
Widely linear LQCMV beamformer and augmented dual-domain adaptive algorithm | 1 | 0.36 | 2013 |
Multikernel Adaptive Filtering | 10 | 0.54 | 2012 |
An efficient kernel adaptive filtering algorithm using hyperplane projection along affine subspace | 8 | 0.54 | 2012 |
Image restoration with union of directional orthonormal DWTs. | 3 | 0.46 | 2012 |
Sparsity-aware adaptive filters based on ℓp-norm inspired soft-thresholding technique | 0 | 0.34 | 2012 |
Coordinated beamforming with relaxed zero forcing. | 4 | 0.47 | 2011 |
A deterministic analysis of linearly constrained adaptive filtering algorithms | 3 | 0.47 | 2011 |
Acceleration of adaptive proximal forward-backward splitting method and its application to sparse system identification | 10 | 0.58 | 2011 |
Nonlinear adaptive filtering techniques with multiple kernels | 8 | 0.57 | 2011 |
Rank-selection criterion for Krylov-subspace-based adaptive filtering techniques | 1 | 0.35 | 2011 |
Adaptive Reduced-Rank Constrained Constant Modulus Algorithms Based on Joint Iterative Optimization of Filters for Beamforming | 25 | 0.86 | 2010 |
Multi-Domain Adaptive Learning Based On Feasibility Splitting And Adaptive Projected Subgradient Method | 10 | 0.77 | 2010 |
Minimal antenna-subset selection under capacity constraint for power-efficient MIMO systems: A relaxed l1 minimization approach. | 0 | 0.34 | 2010 |
A deterministic analysis of variable-metric adaptive filtering algorithms under small metric-fluctuations | 0 | 0.34 | 2010 |
A Fast Stochastic Gradient Algorithm: Maximal Use Of Sparsification Benefits Under Computational Constraints | 1 | 0.35 | 2010 |