1334 search results - page 134 / 267 » Composite kernel learning |
150
Voted
JCP
2008
15 years 3 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...
150
Voted
PAMI
2010
15 years 2 months ago
2010
—A new formulation for multiway spectral clustering is proposed. This method corresponds to a weighted kernel principal component analysis (PCA) approach based on primal-dual lea...
129
Voted
ISBRA
2007
Springer
15 years 9 months ago
2007
Springer
The biological interpretation of large-scale gene expression data is one of the challenges in current bioinformatics. The state-of-theart approach is to perform clustering and then...
143
Voted
COMPSAC
2002
IEEE
15 years 8 months ago
2002
IEEE
Large multi-platform, multi-million lines of codes software systems evolve to cope with new platform or to meet user ever changing needs. While there has been several studies focu...
124
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AIIA
2009
Springer
15 years 7 months ago
2009
Springer
Abstract. In this paper a novel framework for brain classification is proposed in the context of mental health research. A learning by example method is introduced by combining loc...