414 search results - page 4 / 83 » Kernel Optimization in Discriminant Analysis |
FGR
2004
IEEE
13 years 9 months ago
2004
IEEE
The null space-based LDA takes full advantage of the null space while the other methods remove the null space. It proves to be optimal in performance. From the theoretical analysi...
ECCV
2004
Springer
13 years 11 months ago
2004
Springer
The null space of the within-class scatter matrix is found to express most discriminative information for the small sample size problem (SSSP). The null space-based LDA takes full ...
SDM
2008
SIAM
13 years 7 months ago
2008
SIAM
We describe a fast algorithm for kernel discriminant analysis, empirically demonstrating asymptotic speed-up over the previous best approach. We achieve this with a new pattern of...
ICIP
2001
IEEE
14 years 7 months ago
2001
IEEE
Various relevance feedback algorithms have been proposed in recent years in the area of content-based image retrieval. This paper gives a brief review and analysis on existing tec...
ICIP
2005
IEEE
14 years 7 months ago
2005
IEEE
Robustly tracking moving objects in video sequences is one of the key problems in computer vision. In this paper we introduce a computationally efficient nonlinear kernel learning...