Face Recognition via Collaborative Representation Its Discriminant Nature and Superposed Representation.pdf


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0162-8828 (c) 2017 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information.
This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI 10.1109/TPAMI.2017.2757923, IEEE
Transactions on Pattern Analysis and Machine Intelligence
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 1
Face Recognition via Collaborative
Representation: Its Discriminant Nature and
Superposed Representation
Weihong Deng, Jiani Hu, and Jun Guo
Abstract—Collaborative representation methods, such as sparse sub-
space clustering (SSC) and sparse representation-based classification
(SRC), have achieved great success in face clustering and classification
by directly utilizing the training images as the dictionary bases. In this
paper, we


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