Entropy based dictionary learning for image classification
作者：
Highlights：
• EDL optimally assign different number of dictionary items to each class.
• EDL learns different number of dictionary items for different classes.
• Number of sharing/discriminative dictionary items is set optimally by EDL.
• Proposed method (EDL) learns correct number of shared/discriminative items.
摘要
•EDL optimally assign different number of dictionary items to each class.•EDL learns different number of dictionary items for different classes.•Number of sharing/discriminative dictionary items is set optimally by EDL.•Proposed method (EDL) learns correct number of shared/discriminative items.
论文关键词：Discriminative dictionary learning,Entropy,Entropy based dictionary learning,Image classification,Sparse representation,Supervised dictionary learning
论文评审过程：Received 29 April 2017, Revised 26 April 2020, Accepted 6 September 2020, Available online 12 September 2020, Version of Record 14 September 2020.
论文官网地址：https://doi.org/10.1016/j.patcog.2020.107634
