Abstract
In this paper, we propose a fast Evolutionary pursuit algorithm. It searches for optimal discriminant vectors through linearly combining standard bases. Experiments on the Yale and ORL databases verify its effectiveness and enhanced efficiency.
Original language | English |
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Pages (from-to) | 310-312 |
Number of pages | 3 |
Journal | Pattern Recognition |
Volume | 39 |
Issue number | 2 |
DOIs | |
Publication status | Published - 1 Feb 2006 |
Keywords
- Evolutionary pursuit
- Face recognition
- Linear combination
ASJC Scopus subject areas
- Software
- Signal Processing
- Computer Vision and Pattern Recognition
- Artificial Intelligence