A classification-oriented dictionary learning model: Explicitly learning the particularity and commonality across categories
作者：
Highlights：
• We propose a discriminative dictionary learning method for image classification.
• Our method learns class-specific feature sub-dictionaries and a common pattern pool.
• The class-specific dictionary captures the most discriminative features of the class.
• The common pattern pool complements the representation of images over the dictionary.
• We provide the explanation of our model and the comparisons with other methods.
摘要
Highlights•We propose a discriminative dictionary learning method for image classification.•Our method learns class-specific feature sub-dictionaries and a common pattern pool.•The class-specific dictionary captures the most discriminative features of the class.•The common pattern pool complements the representation of images over the dictionary.•We provide the explanation of our model and the comparisons with other methods.
论文关键词：Dictionary learning,Sparse coding,Image classification,Particularity,Commonality
论文评审过程：Received 14 July 2012, Revised 8 January 2013, Accepted 2 August 2013, Available online 12 August 2013.
论文官网地址：https://doi.org/10.1016/j.patcog.2013.08.004
