Sparse, collaborative, or nonnegative representation: Which helps pattern classification?-Reference-Cited by-同舟云学术

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Sparse, collaborative, or nonnegative representation: Which helps pattern classification?

Published:2019-04 Issue: Volume:88 Page:679-688
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Xu Jun^ORCID,An Wangpeng,Zhang Lei,Zhang David^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference83 articles.

1. Beyond bags of features: spatial pyramid matching for recognizing natural scene categories;Lazebnik,2006

2. Linear spatial pyramid matching using sparse coding for image classification;Yang,2009

3. Local features are not lonely-laplacian sparse coding for image classification;Gao,2010

4. Discriminative k-svd for dictionary learning in face recognition;Zhang,2010

5. Label consistent k-svd: learning a discriminative dictionary for recognition;Jiang;IEEE Trans. Pattern Anal. Mach. Intell.,2013

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