Learning structured dictionary based on inter-class similarity and representative margins

Yuyao Zhang; Philip O. Ogunbona; Wanqing Li; Gordon G. Wallace

ICASSP 2016accepted0 citations

Learning structured dictionary based on inter-class similarity and representative margins

Yuyao Zhang, Philip O. Ogunbona, Wanqing Li, Gordon G. Wallace

Abstract

We consider the problem of learning a structured and discriminative dictionary based on sparse representation for classification task. The structure comprises class-shared and class-specific partitions which allows the separation of common and class-specific information in the data for classification. The resulting optimization problem was a max margin formulation that exploits the hinge loss function property. Comparative evaluation of the proposed classifier against four recent alternatives in a gender classification task indicates a 3-percenatge point improvement.

BibTeX

@inproceedings{icassp2016_learningstructur,
  title = {Learning structured dictionary based on inter-class similarity and representative margins},
  author = {Yuyao Zhang and Philip O. Ogunbona and Wanqing Li and Gordon G. Wallace},
  booktitle = {ICASSP 2016},
  year = {2016}
}