4930 search results - page 122 / 986 » Learning minimal abstractions |
105
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SARA
2005
Springer
15 years 6 months ago
2005
Springer
Abstract. The presence of long gaps dramatically increases the difficulty of detecting and characterizing complex events hidden in long sequences. In order to cope with this proble...
119
Voted
HIS
2004
15 years 2 months ago
2004
In this paper, a new fuzzy clustering algorithm that uses cellular learning automata based evolutionary computing (CLA-EC) is proposed. The CLA-EC is a model obtained by combining...
130
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TIT
2008
15 years 18 days 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...
111
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CORR
2011
Springer
14 years 7 months ago
2011
Springer
Online learning algorithms have impressive convergence properties when it comes to risk minimization and convex games on very large problems. However, they are inherently sequenti...
130
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CVPR
2009
IEEE
16 years 7 months ago
2009
IEEE
Many traditional methods for shape classification involve
establishing point correspondences between shapes to
produce matching scores, which are in turn used as similarity
meas...