A collaborative representation based projections method for feature extraction

作者：

Highlights：

• We give a L2 norm graph based on collaborative representation.

• We propose a collaborative representation based projections (CRP) for feature extraction.

• CRP is a Rayleigh quotient form and can be calculated via generalized eigenvalue decomposition.

摘要

•We give a L2 norm graph based on collaborative representation.•We propose a collaborative representation based projections (CRP) for feature extraction.•CRP is a Rayleigh quotient form and can be calculated via generalized eigenvalue decomposition.

论文关键词：Sparse representation,Collaborative representation,Feature extraction,Image recognition

论文评审过程：Received 18 October 2013, Revised 27 May 2014, Accepted 4 July 2014, Available online 23 July 2014.

论文官网地址：https://doi.org/10.1016/j.patcog.2014.07.009