4629 search results - page 30 / 926 » Space Kernel Analysis |
NIPS
2007
15 years 1 months ago
2007
We propose a new measure of conditional dependence of random variables, based on normalized cross-covariance operators on reproducing kernel Hilbert spaces. Unlike previous kernel...
92
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CIBCB
2005
IEEE
15 years 5 months ago
2005
IEEE
— Part of the challenge of modeling protein sequences is their discrete nature. Many of the most powerful statistical and learning techniques are applicable to points in a Euclid...
154
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CVPR
2012
IEEE
13 years 2 months ago
2012
IEEE
Recent work on background subtraction has shown developments on two major fronts. In one, there has been increasing sophistication of probabilistic models, from mixtures of Gaussi...
120
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TIT
2008
14 years 11 months ago
2008
We consider a framework for semi-supervised learning using spectral decomposition-based unsupervised kernel design. We relate this approach to previously proposed semi-supervised l...
KDD
2005
ACM
16 years 7 days ago
2005
ACM
Abstract. The application of kernel methods to link analysis is explored. We argue that a family of kernels on graphs provides a unified perspective on the three measures proposed ...