Proposals for local basis selection for the sparse representation-based classifier

In the domains of pattern recognition and computer vision, sparse representation classifier and its variants are considered as powerful classifiers. However, due to the use of sparse coding in most of its variants, classifying test samples is computationally expensive. Thus, it is not practical for...

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