| Literature DB >> 20083461 |
Xuelong Li1, Yanwei Pang, Yuan Yuan.
Abstract
In this paper, we first present a simple but effective L1-norm-based two-dimensional principal component analysis (2DPCA). Traditional L2-norm-based least squares criterion is sensitive to outliers, while the newly proposed L1-norm 2DPCA is robust. Experimental results demonstrate its advantages.Mesh：
Year: 2010 PMID： 20083461 DOI： 10.1109/TSMCB.2009.2035629
Source DB: PubMed Journal: IEEE Trans Syst Man Cybern B Cybern ISSN： 1083-4419