Class relatedness oriented-discriminative dictionary learning for multiclass image classification

作者：

Highlights：

• We propose a new discriminative dictionary learning method for image classification.

• We show that the proposed method can adaptively learn the relatedness between dictionary atoms and the class labels.

• The proposed method achieves state-of-the-art performance on several public databases.

摘要

Highlights•We propose a new discriminative dictionary learning method for image classification.•We show that the proposed method can adaptively learn the relatedness between dictionary atoms and the class labels.•The proposed method achieves state-of-the-art performance on several public databases.

论文关键词：Dictionary learning,Joint sparsity,ℓ1,∞-norm,Support vector machine,Class relatedness

论文评审过程：Received 4 September 2015, Revised 10 November 2015, Accepted 7 December 2015, Available online 19 December 2015, Version of Record 23 August 2016.

论文官网地址：https://doi.org/10.1016/j.patcog.2015.12.005