3086 search results - page 14 / 618 » Generalized Discriminant Analysis Using a Kernel Approach |
ICCV
2011
IEEE
12 years 8 months ago
2011
IEEE
Naive Bayes Nearest Neighbor (NBNN) has recently been proposed as a powerful, non-parametric approach for object classification, that manages to achieve remarkably good results t...
ICPR
2006
IEEE
14 years 9 months ago
2006
IEEE
In this paper, we propose a robust and efficient algorithm for generalized orthonormal discriminant vectors (GODV). The major advantage of the proposed method is the use of the ra...
ICCV
2009
IEEE
13 years 6 months ago
2009
IEEE
The use of Mercer kernel methods in statistical learning theory provides for strong learning capabilities, as seen in kernel principal component analysis and support vector machin...
TNN
2008
13 years 8 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) ...
CSDA
2004
13 years 8 months ago
2004
The goal of discriminant analysis is to obtain rules that describe the separation between groups of observations. Moreover it allows to classify new observations into one of the k...