485 search results - page 14 / 97 » A Discriminant Analysis for Undersampled Data |
IJCNN
2008
IEEE
14 years 1 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...
CSDA
2008
13 years 7 months ago
2008
In the general classification context the recourse to the so-called Bayes decision rule requires to estimate the class conditional probability density functions. In this paper we p...
PAKDD
2007
ACM
14 years 1 months ago
2007
ACM
While null space based linear discriminant analysis (NLDA) obtains a good discriminant performance, the ability easily suffers from an implicit assumption of Gaussian model with sa...
ECCV
2006
Springer
14 years 9 months ago
2006
Springer
Many linear discriminant analysis (LDA) and kernel Fisher discriminant analysis (KFD) methods are based on the restrictive assumption that the data are homoscedastic. In this paper...
JUCS
2008
13 years 7 months ago
2008
: This paper deals with a progressive learning method for symbol recognition which improves its own recognition rate when new symbols are recognized in graphic documents. We propos...