110 search results - page 11 / 22 » Optimal kernel selection in Kernel Fisher discriminant analy... |
NIPS
2008
13 years 9 months ago
2008
We introduce a kernel-based method for change-point analysis within a sequence of temporal observations. Change-point analysis of an unlabelled sample of observations consists in,...
ICIP
2003
IEEE
14 years 9 months ago
2003
IEEE
In local feature?based face recognition systems, the topographical locations of feature extractors directly affect the discriminative power of a recognizer. Better recognition acc...
ICMCS
2005
IEEE
14 years 1 months ago
2005
IEEE
In this work we strive to find an optimal set of acoustic features for the discrimination of speech, monophonic singing, and polyphonic music to robustly segment acoustic media st...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
We address the problem of feature selection in a kernel space to select the most discriminative and informative features for classification and data analysis. This is a difficult ...
TNN
2008
13 years 7 months ago
2008
Abstract--Large-margin methods, such as support vector machines (SVMs), have been very successful in classification problems. Recently, maximum margin discriminant analysis (MMDA) ...