50 search results - page 3 / 10 » Feature selection based on kernel discriminant analysis for ... |
ICML
2007
IEEE
14 years 5 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 ...
AVBPA
2005
Springer
13 years 10 months ago
2005
Springer
A novel nonlinear discriminant analysis method, Kernelized Decision Boundary Analysis (KDBA), is proposed in our paper, whose Decision Boundary feature vectors are the normal vecto...
ICANN
2007
Springer
13 years 8 months ago
2007
Springer
In this paper, we discuss fuzzy classifiers based on Kernel Discriminant Analysis (KDA) for two-class problems. In our method, first we employ KDA to the given training data and ca...
BMVC
2001
13 years 7 months ago
2001
We present a comprehensive approach to address three challenging problems in face recognition: modelling faces across multi-views, extracting the non-linear discriminating feature...
ARTMED
2007
13 years 4 months ago
2007
Objective: This study investigates the use of automated pattern recognition methods on magnetic resonance data with the ultimate goal to assist clinicians in the diagnosis of brai...