191 search results - page 27 / 39 » Generalized Power Method for Sparse Principal Component Anal... |
105
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ICCV
2005
IEEE
15 years 11 months ago
2005
IEEE
In recent years Kernel Principal Component Analysis (Kernel PCA) has gained much attention because of its ability to capture nonlinear image features, which are particularly impor...
CORR
2010
Springer
14 years 9 months ago
2010
Springer
Spectral clustering is one of the most widely used techniques for extracting the underlying global structure of a data set. Compressed sensing and matrix completion have emerged a...
128
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ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
Multilinear analysis provides a powerful mathematical framework for analyzing synthetic aperture radar (SAR) images resulting from the interaction of multiple factors like sky lum...
102
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BMCBI
2010
14 years 9 months ago
2010
Background: Cluster analysis, and in particular hierarchical clustering, is widely used to extract information from gene expression data. The aim is to discover new classes, or su...
100
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PR
2006
14 years 9 months ago
2006
In the past few years, some nonlinear dimensionality reduction (NLDR) or nonlinear manifold learning methods have aroused a great deal of interest in the machine learning communit...