55 search results - page 9 / 11 » On Relevant Dimensions in Kernel Feature Spaces |
PR
2008
13 years 5 months ago
2008
7 Linear discriminant analysis (LDA) is a dimension reduction method which finds an optimal linear transformation that maximizes the class separability. However, in undersampled p...
CVPR
2007
IEEE
14 years 8 months ago
2007
IEEE
Discriminant Analysis (DA) methods have demonstrated their utility in countless applications in computer vision and other areas of research ? especially in the C class classificat...
JAIR
2010
13 years 4 months ago
2010
While traditional research on text clustering has largely focused on grouping documents by topic, it is conceivable that a user may want to cluster documents along other dimension...
PKDD
2009
Springer
14 years 15 days ago
2009
Springer
Abstract. Feature selection in reinforcement learning (RL), i.e. choosing basis functions such that useful approximations of the unkown value function can be obtained, is one of th...
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
The goal of sound morphing by feature interpolation is to obtain sounds whose values of features are intermediate between those of the source and target sounds. In order to do thi...