| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 532979 | Pattern Recognition | 2006 | 4 Pages |
Abstract
A novel linear discriminant criterion function is proved to be equal to Fisher's criterion function. The analysis of the function is linked to spectral decomposition of the Laplacian of a graph. Moreover, the function is maximized using two algorithms. Experimental results show the effectiveness and some specific characteristics of our algorithms.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Hong Tang, Tao Fang, Peng-Fei Shi,