291 search results - page 2 / 59 » General Convergence Results for Linear Discriminant Updates |
NECO
2000
13 years 4 months ago
2000
We present a new method that we call Generalized Discriminant Analysis (GDA) to deal with nonlinear discriminant analysis using kernel function operator. The underlying theory is ...
ICPR
2008
IEEE
14 years 6 months ago
2008
IEEE
A Generalized Nonlinear Discriminant Analysis (GNDA) method is proposed, which implements Fisher discriminant analysis in a nonlinear mapping space. Linear discriminant analysis i...
TSP
2008
13 years 4 months ago
2008
Markov random fields are designed to represent structured dependencies among large collections of random variables, and are well-suited to capture the structure of real-world sign...
PR
2008
13 years 4 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...
UAI
2003
13 years 6 months ago
2003
Many practitioners who use EM and related algorithms complain that they are sometimes slow. When does this happen, and what can be done about it? In this paper, we study the gener...