125 search results - page 2 / 25 » Rotational Linear Discriminant Analysis Technique for Dimens... |
90
Voted
CVPR
2008
IEEE
16 years 7 days 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...
97
Voted
CVPR
2008
IEEE
16 years 7 days 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...
102
Voted
TSMC
2008
14 years 9 months ago
2008
Abstract--Dimensionality reduction methods have been successfully employed for face recognition. Among the various dimensionality reduction algorithms, linear (Fisher) discriminant...
70
Voted
WACV
2002
IEEE
15 years 3 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
14 years 10 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...