414 search results - page 19 / 83 » Kernel Optimization in Discriminant Analysis |
ICCV
2007
IEEE
14 years 3 months ago
2007
IEEE
Kernel classifiers based on Support Vector Machines (SVM) have recently achieved state-of-the art results on several popular datasets like Caltech or Pascal. This was possible by...
ICIP
2002
IEEE
14 years 10 months ago
2002
IEEE
Techniques that can introduce low-dimensional feature representation with enhanced discriminatory power is of paramount importance in face recognition applications. It is well kno...
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
We address classification problems for which the training instances are governed by a distribution that is allowed to differ arbitrarily from the test distribution--problems also ...
SDM
2009
SIAM
14 years 6 months ago
2009
SIAM
This paper demonstrates the applicability of the recently proposed supervised dimension reduction, hierarchical linear discriminant analysis (h-LDA) to a well-known spatial locali...
CVPR
2007
IEEE
14 years 10 months ago
2007
IEEE
Dimensionality reduction is an important issue when facing high-dimensional data. For supervised dimensionality reduction, Linear Discriminant Analysis (LDA) is one of the most po...