Cost-sensitive dictionary learning for face recognition
作者：
Highlights：
• A cost-sensitive dictionary learning algorithm for SRC is proposed.
• Introduce a new “cost” penalizing matrix during the sparse coding stages.
• Enforce cost-sensitive requirement throughout the learning process.
• The learned dictionary is able to produce cost-sensitive sparse coding.
• Our method can achieve a minimum overall recognition loss.
摘要
•A cost-sensitive dictionary learning algorithm for SRC is proposed.•Introduce a new “cost” penalizing matrix during the sparse coding stages.•Enforce cost-sensitive requirement throughout the learning process.•The learned dictionary is able to produce cost-sensitive sparse coding.•Our method can achieve a minimum overall recognition loss.
论文关键词：Cost sensitive,Sparse representation,Dictionary learning,Face recognition
论文评审过程：Received 19 June 2014, Revised 7 April 2016, Accepted 17 June 2016, Available online 18 June 2016, Version of Record 2 July 2016.
论文官网地址：https://doi.org/10.1016/j.patcog.2016.06.012
