1224 search results - page 27 / 245 » On the Optimality of the Dimensionality Reduction Method |
157
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ECCV
2010
Springer
15 years 11 months ago
2010
Springer
This paper presents algorithms for efficiently computing the covariance matrix for features that form sub-windows in a large multidimensional image. For example, several image proc...
181
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PR
2008
15 years 6 months ago
2008
7 Linear discriminant analysis (LDA) is a dimension reduction method which finds an optimal linear transformation that maximizes the class separability. However, in undersampled p...
167
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IJCAI
2007
15 years 7 months ago
2007
Kernel based nonlinear Feature Extraction (KFE) or dimensionality reduction is a widely used pre-processing step in pattern classification and data mining tasks. Given a positive...
161
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AUSAI
2006
Springer
15 years 9 months ago
2006
Springer
In this paper, we propose the Kernel Laplacian Eigenmaps for nonlinear dimensionality reduction. This method can be extended to any structured input beyond the usual vectorial data...
146
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ICCSA
2005
Springer
15 years 11 months ago
2005
Springer
Various global optimization methods are compared in order to find the best strategy to solve realistic drag reduction problems in the automotive industry. All the methods consist ...