Kernel collaborative face recognition
作者：
Highlights：
• We present a general formulation known as kernel collaborative representation.
• We develop an effective algorithm with squared L2-regularization.
• We combine different kernels by using different weights in an additive manner.
• Our algorithm can achieve favorable performance in terms of accuracy and speed.
摘要
Highlights•We present a general formulation known as kernel collaborative representation.•We develop an effective algorithm with squared L2-regularization.•We combine different kernels by using different weights in an additive manner.•Our algorithm can achieve favorable performance in terms of accuracy and speed.
论文关键词：Face recognition,Kernel methods,Sparse representation,Collaborative representation
论文评审过程：Received 8 September 2014, Revised 21 November 2014, Accepted 14 January 2015, Available online 22 January 2015, Version of Record 17 June 2015.
论文官网地址：https://doi.org/10.1016/j.patcog.2015.01.012
