619 search results - page 73 / 124 » A Kernel Method for the Two-Sample Problem |
105
click to vote
ICCV
2003
IEEE
16 years 5 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 ...
141
click to vote
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...
141
click to vote
PAMI
2010
15 years 1 months 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....
131
click to vote
JMLR
2010
14 years 10 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...
115
click to vote
JMLR
2010
14 years 10 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...