Half-quadratic-based iterative minimization for robust sparse representation.
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General regression and representation model for classificationRobust Face Recognition via Multi-Scale Patch-Based Matrix Regression.A Robust Regression Framework with Laplace Kernel-Induced Loss.Two-Dimensional Whitening Reconstruction for Enhancing Robustness of Principal Component AnalysisA Collaborative Neighbor Representation Based Face Recognition AlgorithmA Large-Scale Network Data Analysis via Sparse and Low Rank ReconstructionIntegrating Globality and Locality for Robust Representation Based ClassificationOn the parallel efficiency and scalability of the correntropy coefficient for image analysis
P2860
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P2860
Half-quadratic-based iterative minimization for robust sparse representation.
description
2014 nî lūn-bûn
@nan
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
2014年论文
@zh
2014年论文
@zh-cn
name
Half-quadratic-based iterative minimization for robust sparse representation.
@en
Half-quadratic-based iterative minimization for robust sparse representation.
@nl
type
label
Half-quadratic-based iterative minimization for robust sparse representation.
@en
Half-quadratic-based iterative minimization for robust sparse representation.
@nl
prefLabel
Half-quadratic-based iterative minimization for robust sparse representation.
@en
Half-quadratic-based iterative minimization for robust sparse representation.
@nl
P2093
P356
P1476
Half-quadratic-based iterative minimization for robust sparse representation.
@en
P2093
Tieniu Tan
Wei-Shi Zheng
Zhenan Sun
P304
P356
10.1109/TPAMI.2013.102
P407
P577
2014-02-01T00:00:00Z