485 search results - page 2 / 97 » A Discriminant Analysis for Undersampled Data |
JMLR
2006
14 years 11 months ago
2006
Dimensionality reduction is an important pre-processing step in many applications. Linear discriminant analysis (LDA) is a classical statistical approach for supervised dimensiona...
107
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SIAMMAX
2010
14 years 6 months ago
2010
Linear Discriminant Analysis (LDA) is one of the most popular approaches for feature extraction and dimension reduction to overcome the curse of the dimensionality of the high-dime...
97
Voted
ICPR
2008
IEEE
16 years 26 days 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...
111
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CVPR
2012
IEEE
13 years 2 months ago
2012
IEEE
This paper presents a general multi-view feature extraction approach that we call Generalized Multiview Analysis or GMA. GMA has all the desirable properties required for cross-vi...
90
Voted
PAA
2008
14 years 11 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...