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Sparse representation classifier (SRC) is the state-of-the-art method, and the theory of SRC has interesting links to compressed sensing. This paper proposes a new method named Sparse Regression Analysis (SRA) for object representation and recognition. In SRA, the L1-norm minimization method is combined with regression process to represent the input signal. We show that the discriminative ability...
This paper proposes a new method named Sparse Regression Analysis (SRA) for object representation and recognition. In SRA, ℓ1-norm minimization is combined with regression analysis to represent the input signal. The discriminative ability of SRA derives from the fact that the subset which most compactly expresses the input signal is activated in the regression analysis. To achieve a further improvement,...
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