5 search results - page 1 / 1 » Kernel Uncorrelated and Orthogonal Discriminant Analysis: A ... |
CVPR
2006
IEEE
15 years 1 months ago
2006
IEEE
Several kernel algorithms have recently been proposed for nonlinear discriminant analysis. However, these methods mainly address the singularity problem in the high dimensional fe...
TKDE
2008
13 years 11 months ago
2008
Linear and kernel discriminant analyses are popular approaches for supervised dimensionality reduction. Uncorrelated and regularized discriminant analyses have been proposed to ove...
CVPR
2005
IEEE
15 years 1 months ago
2005
IEEE
We simultaneously approach two tasks of nonlinear discriminant analysis and kernel selection problem by proposing a unified criterion, Fisher+Kernel Criterion. In addition, an eff...
ICA
2007
Springer
14 years 5 months ago
2007
Springer
The discussion in this paper revolves around the notion of separation problems. The latter can be thought of as a unifying concept which includes a variety of important problems in...
BMCBI
2007
13 years 11 months ago
2007
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...