Incomplete Multi-view Classification via Discriminative and Sparse Representation

Generally, the traditional multi-view learning methods assume that all samples are completed in all views. However, this assumption often fails in real applications because of limited access to data, equipment malfunc-tion, as well as occlusion and so on. Thus, it is ineffective to directly use thes...

Full description

Bibliographic Details

Published in:	Jisuanji kexue yu tansuo
Main Author:	XIN Like, YANG Wanqi, YANG Ming
Format:	Article
Language:	Chinese
Published:	Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 2021-10-01
Subjects:	multi-view learning incomplete multi-view learning sparse representation view consistence
Online Access:	http://fcst.ceaj.org/CN/abstract/abstract2917.shtml