Sparse representation and learning in visual recognition: Theory and applications

Abstract

Sparse representation and learning has been widely used in computational intelligence, machine learning, computer vision and pattern recognition, etc. Mathematically, solving sparse representation and learning involves seeking the sparsest linear combination of basis functions from an overcomplete dictionary. A rational behind this is the sparse… (More)
DOI: 10.1016/j.sigpro.2012.09.011

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