619 search results - page 29 / 124 » A Kernel Method for the Two-Sample Problem |
97
Voted
NIPS
2003
15 years 3 months ago
2003
Clustering aims at extracting hidden structure in dataset. While the problem of finding compact clusters has been widely studied in the literature, extracting arbitrarily formed ...
112
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ECCV
2004
Springer
16 years 4 months ago
2004
Springer
Correlation is a very effective way to align intensity images. We extend the correlation technique to point set registration using a method we call kernel correlation. Kernel corre...
113
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JMLR
2010
14 years 9 months ago
2010
A computationally efficient approach to local learning with kernel methods is presented. The Fast Local Kernel Support Vector Machine (FaLK-SVM) trains a set of local SVMs on redu...
126
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ICIP
2009
IEEE
16 years 3 months ago
2009
IEEE
Scale-space representation of an image is a significant way to generate features for classification. However, for a specific classification task, the entire scale-space may not be...
128
Voted
ICPR
2008
IEEE
16 years 3 months ago
2008
IEEE
Speaker independent feature extraction is a critical problem in speech recognition. Oriented principal component analysis (OPCA) is a potential solution that can find a subspace r...