619 search results - page 73 / 124 » A Kernel Method for the Two-Sample Problem |
100
Voted
ICCV
2003
IEEE
16 years 4 months ago
2003
IEEE
The robust regression techniques in the RANSAC family are popular today in computer vision, but their performance depends on a user supplied threshold. We eliminate this drawback ...
132
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ICANN
2001
Springer
15 years 7 months ago
2001
Springer
Abstract. In this paper, we propose and study a new on-line algorithm for learning a SVM based on Radial Basis Function Kernel: Local Incremental Learning of SVM or LISVM. Our meth...
135
Voted
PAMI
2010
15 years 28 days ago
2010
—Adapting the hyperparameters of support vector machines (SVMs) is a challenging model selection problem, especially when flexible kernels are to be adapted and data are scarce....
122
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JMLR
2010
14 years 9 months ago
2010
Fisher linear discriminant analysis (FDA) and its kernel extension--kernel discriminant analysis (KDA)--are well known methods that consider dimensionality reduction and classific...
109
Voted
JMLR
2010
14 years 9 months ago
2010
We introduce a nonparametric representation for graphical model on trees which expresses marginals as Hilbert space embeddings and conditionals as embedding operators. This formul...