摘要
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.
| 源语言 | 英语 |
|---|---|
| 文章编号 | 5382548 |
| 页（从-至） | 1170-1175 |
| 页数 | 6 |
| 期刊 | IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics |
| 卷 | 40 |
| 期 | 4 |
| DOI | |
| 出版状态 | 已出版 - 8月 2010 |
| 已对外发布 | 是 |