Locality-sensitive dictionary learning for sparse representation based classification

Abstract

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 propose a localitysensitive dictionary learning algorithm for SRC, in which the designed dictionary is able to preserve local data structure, resulting in improved image… (More)
DOI: 10.1016/j.patcog.2012.11.014

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