关键词: 稀疏表示, 坐标下降算法, 分类, 人脸识别

Abstract: The typical Sparse Representation for Classification（SRC）based on [L1] norm minimization is a very popular pattern recognition method due to its desirable classification performance in many applications. Nevertheless, the traditional SRC method usually suffers from the low computational efficiency. In order to deal well with this problem, this paper proposes an efficient and effective approach based on coordinate descent algorithm, which can significantly enhance the computational efficiency and achieve good classification results. The experiments on popular face databases demonstrate that the proposed approach is promising.

Key words: sparse representation, coordinate descent method, classification, face recognition