Simultaneous Robust Matching Pursuit for Multi-view Learning

作者：

Highlights：

• We propose a simultaneous robust matching pursuit (SRMP) method.

• We devise an efficient half-quadratic optimization algorithm for SRMP.

• We put forward a SRMP based multi-view subspace clustering approach.

• A SRMP based classifier is developed for multi-view pattern classification.

摘要

•We propose a simultaneous robust matching pursuit (SRMP) method.•We devise an efficient half-quadratic optimization algorithm for SRMP.•We put forward a SRMP based multi-view subspace clustering approach.•A SRMP based classifier is developed for multi-view pattern classification.

论文关键词：Greedy algorithm,Multi-view learning,M-estimator,Sparse learning

论文评审过程：Received 5 May 2022, Revised 29 September 2022, Accepted 4 October 2022, Available online 5 October 2022, Version of Record 20 October 2022.

论文官网地址：https://doi.org/10.1016/j.patcog.2022.109100