Discriminative transfer learning with sparsity regularization for single-sample face recognition

作者：

Highlights：

• We present two methods for single-sample face recognition problem.

• A discriminative transfer learning method is proposed.

• A discriminative transfer learning with sparsity regularization method is proposed.

• Experiments on three face datasets show the efficacy of the proposed methods.

摘要

•We present two methods for single-sample face recognition problem.•A discriminative transfer learning method is proposed.•A discriminative transfer learning with sparsity regularization method is proposed.•Experiments on three face datasets show the efficacy of the proposed methods.

论文关键词：Transfer learning,Discriminant analysis,Sparsity regularization,Single-sample face recognition

论文评审过程：Received 15 May 2016, Revised 2 August 2016, Accepted 16 August 2016, Available online 24 August 2016, Version of Record 22 March 2017.

论文官网地址：https://doi.org/10.1016/j.imavis.2016.08.007