125 search results - page 2 / 25 » Rotational Linear Discriminant Analysis Technique for Dimens... |
CVPR
2008
IEEE
14 years 7 months ago
2008
IEEE
Linear Discriminant Analysis (LDA), which works by maximizing the within-class similarity and minimizing the between-class similarity simultaneously, is a popular dimensionality r...
CVPR
2008
IEEE
14 years 7 months ago
2008
IEEE
Linear Discriminant Analysis (LDA) is one of the wellknown methods for supervised dimensionality reduction. Over the years, many LDA-based algorithms have been developed to cope w...
TSMC
2008
13 years 5 months ago
2008
Abstract--Dimensionality reduction methods have been successfully employed for face recognition. Among the various dimensionality reduction algorithms, linear (Fisher) discriminant...
WACV
2002
IEEE
13 years 10 months ago
2002
IEEE
In this paper we present the results of a comparative study of linear and kernel-based methods for face recognition. The methods used for dimensionality reduction are Principal Co...
PAA
2008
13 years 5 months ago
2008
This paper proposes a method of finding a discriminative linear transformation that enhances the data's degree of conformance to the compactness hypothesis and its inverse. Th...