Block sparse representation for pattern classification: Theory, extensions and applications

Yulong Wang, Yuan Yan Tang, Luoqing Li, Xianwei Zheng

Abstract: Highlights•We give theoretical guarantees for the block sparse representation based classifier.•A RBSRC (robust block sparse representation based classifier) framework is given.•We devise an efficient half-quadratic optimization algorithm for RBSRC.•Using RBSRC as a general platform, we propose three robust classifiers.