Robust nuclear norm regularized regression for face recognition with occlusion

作者：

Highlights：

• We propose a nuclear norm regularized regression model (NR) and use ADMM to solve it.

• We also provide the complexity analysis and convergence analysis of NR.

• The robust NR based classification (RNR) is introduced for face recognition.

• Experimental results demonstrate the advantages of our method.

摘要

•We propose a nuclear norm regularized regression model (NR) and use ADMM to solve it.•We also provide the complexity analysis and convergence analysis of NR.•The robust NR based classification (RNR) is introduced for face recognition.•Experimental results demonstrate the advantages of our method.

论文关键词：Nuclear norm,Robust regression,Regularization,Face recognition

论文评审过程：Received 23 September 2014, Revised 15 April 2015, Accepted 15 April 2015, Available online 28 April 2015, Version of Record 17 June 2015.

论文官网地址：https://doi.org/10.1016/j.patcog.2015.04.017