654 search results - page 17 / 131 » TRUST-TECH based Methods for Optimization and Learning |
90
Voted
ICML
2009
IEEE
16 years 1 months ago
2009
IEEE
Similarity measures in many real applications generate indefinite similarity matrices. In this paper, we consider the problem of classification based on such indefinite similariti...
125
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ICB
2009
Springer
15 years 7 months ago
2009
Springer
The small sample size problem and the difficulty in determining the optimal reduced dimension limit the application of subspace learning methods in the gait recognition domain. To...
110
Voted
CVPR
2007
IEEE
16 years 2 months ago
2007
IEEE
Markov Random Field, or MRF, models are a powerful tool for modeling images. While much progress has been made in algorithms for inference in MRFs, learning the parameters of an M...
114
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ICML
2003
IEEE
16 years 1 months ago
2003
IEEE
In this paper, we address the problem of finding the pre-image of a feature vector in the feature space induced by a kernel. This is of central importance in some kernel applicatio...
133
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CORR
2010
Springer
14 years 11 months ago
2010
Springer
Gaussian graphical models are of great interest in statistical learning. Because the conditional independencies between different nodes correspond to zero entries in the inverse c...