414 search results - page 10 / 83 » Kernel Optimization in Discriminant Analysis |
PR
2008
13 years 7 months ago
2008
It is generally believed that quadratic discriminant analysis (QDA) can better fit the data in practical pattern recognition applications compared to linear discriminant analysis ...
ICB
2007
Springer
13 years 11 months ago
2007
Springer
The symmetrical decomposition is a powerful method to extract features for image recognition. It reveals the significant discriminative information from the mirror image of symmetr...
ICANN
2007
Springer
13 years 11 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...
ICIP
2007
IEEE
14 years 1 months ago
2007
IEEE
In this paper a novel non-linear subspace method for face verification is proposed. The problem of face verification is considered as a two-class problem (genuine versus imposto...
IJCNN
2008
IEEE
14 years 2 months ago
2008
IEEE
— We propose a feature selection criterion based on kernel discriminant analysis (KDA) for an -class problem, which finds eigenvectors on which the projected class data are loca...