Sparse and collaborative representation based kernel pairwise linear regression for image set classification

作者：

Highlights：

• Two new unrelated subspace construction strategies are introduced.

• Two new image set classifiers called PLRC-III and PLRC-IV are then developed.

• The KPLRC framework is suitable for large size image set classification.

摘要

•Two new unrelated subspace construction strategies are introduced.•Two new image set classifiers called PLRC-III and PLRC-IV are then developed.•The KPLRC framework is suitable for large size image set classification.

论文关键词：Image set classification,Pairwise linear regression classification,Kernel trick,Unrelated subspace,Sparse representation,Collaborative representation

论文评审过程：Received 3 September 2018, Revised 26 July 2019, Accepted 17 August 2019, Available online 19 August 2019, Version of Record 30 August 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.112886