50 search results - page 7 / 10 » Feature selection based on kernel discriminant analysis for ... |
149
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CVPR
2005
IEEE
15 years 8 months ago
2005
IEEE
This paper proposes a novel nonlinear discriminant analysis method named by Kernerlized Maximum Average Margin Criterion (KMAMC), which has combined the idea of Support Vector Mac...
161
Voted
BMCBI
2007
15 years 2 months ago
2007
Background: Classification studies using gene expression datasets are usually based on small numbers of samples and tens of thousands of genes. The selection of those genes that a...
145
Voted
JCP
2008
15 years 2 months ago
2008
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
121
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BMCBI
2008
15 years 3 months ago
2008
Background: Classification of protein sequences is a central problem in computational biology. Currently, among computational methods discriminative kernel-based approaches provid...
131
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CVPR
2005
IEEE
16 years 5 months ago
2005
IEEE
In this paper, we present a novel approach to solving the supervised dimensionality reduction problem by encoding an image object as a general tensor of 2nd or higher order. First...