Adaptive Weighted Multi-Element Collaborative Representation for Visual Classification

Abstract

Adaptive Weighted Multi-Element Collaborative Representation for Visual Classification is proposed in this paper. To address the weak discriminative power of SRC (sparse representation classifier) method, we propose using multiple elements to represent each element and construct multiple collaborative representation for classification. To reflect the different element with different importance and discriminative power, we present an adaptive weighted residuals method to linearly combine different element representations for classification. Experimental results demonstrate the effectiveness and better classification accuracy of our proposed method.