Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
535085 | Pattern Recognition Letters | 2009 | 9 Pages |
Abstract
A novel feature selection scheme is proposed. We construct a piecewise linear decision boundary, and find a feature sub-space suitable to the constructed boundary. Experimental results show that the proposed scheme outperforms conventional algorithms from the viewpoint of recognition accuracy.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Jae Hee Park, Seong Dae Kim, Wook-Joong Kim,