Large margin linear projection and face recognition |
| |
Authors: | Fengxi Song Jingyu Yang Shuhai Liu |
| |
Affiliation: | Department of Computer Science, Nanjing University of Science & Technology, Nanjing 210094, People's Republic of China |
| |
Abstract: | Unlike linear discriminant analysis, the large margin linear projection (LMLP) classifier presented in this paper, which also roots in linear Fisher discriminant, takes full advantage of the singularity of within-class scatter matrix, and classifies projected points in one-dimensional space by itself. Theoretical analysis and experimental results both reveal that LMLP is well suited for high-dimensional small-sample pattern recognition problems such as face recognition. |
| |
Keywords: | Large margin linear projection Fisher discriminant Quadratic programming Support vector machines Face recognition |
本文献已被 ScienceDirect 等数据库收录! |