Locality-sensitive dictionary learning for sparse representation based classification

CP Wei, YW Chao, YR Yeh, YCF Wang - Pattern Recognition, 2013 - Elsevier
Motivated by image reconstruction, sparse representation based classification (SRC) has
been shown to be an effective method for applications like face recognition. In this paper, we …

[PDF][PDF] Locality-sensitive dictionary learning for sparse representation based classification

CP Wei, YW Chao, YR Yeh, YCF Wang - Pattern Recognition, 2013 - Citeseer
abstract Motivated by image reconstruction, sparse representation based classification
(SRC) has been shown to be an effective method for applications like face recognition. In …

Locality-sensitive dictionary learning for sparse representation based classification

CP Wei, YW Chao, YR Yeh… - Pattern Recognition, 2013 - ui.adsabs.harvard.edu
Motivated by image reconstruction, sparse representation based classification (SRC) has
been shown to be an effective method for applications like face recognition. In this paper, we …

[引用][C] Locality-sensitive dictionary learning for sparse representation based classification

CP WEI, YW CHAO, YR YEH… - Pattern …, 2013 - pascal-francis.inist.fr
Locality-sensitive dictionary learning for sparse representation based classification CNRS
Inist Pascal-Francis CNRS Pascal and Francis Bibliographic Databases Simple search …

Locality-sensitive dictionary learning for sparse representation based classification

CP Wei, YW Chao, YR Yeh, YCF Wang - Pattern Recognition, 2013 - infona.pl
Motivated by image reconstruction, sparse representation based classification (SRC) has
been shown to be an effective method for applications like face recognition. In this paper, we …

Locality-sensitive dictionary learning for sparse representation based classification

CP Wei, YW Chao, YR Yeh, YCF Wang - Pattern Recognition, 2013 - dl.acm.org
Motivated by image reconstruction, sparse representation based classification (SRC) has
been shown to be an effective method for applications like face recognition. In this paper, we …