Bilinear discriminative dictionary learning for face recognition

作者：

Highlights：

• We propose a dictionary learning method based on the l2-norm regularization.

• We minimize the reconstruction error for each class to make the dictionary discriminative.

• A bilinear discriminative term is incorporated in the dictionary learning model.

• A bilinear discriminative classifier is proposed and evaluated.

摘要

•We propose a dictionary learning method based on the l2-norm regularization.•We minimize the reconstruction error for each class to make the dictionary discriminative.•A bilinear discriminative term is incorporated in the dictionary learning model.•A bilinear discriminative classifier is proposed and evaluated.

论文关键词：Bilinear,Dictionary learning,Face recognition,l2-Norm regularization

论文评审过程：Received 30 March 2013, Accepted 3 November 2013, Available online 15 November 2013.

论文官网地址：https://doi.org/10.1016/j.patcog.2013.11.007