619 search results - page 38 / 124 » A Kernel Method for the Two-Sample Problem |
127
Voted
ICML
2008
IEEE
16 years 3 months ago
2008
IEEE
In high-dimensional classification problems it is infeasible to include enough training samples to cover the class regions densely. Irregularities in the resulting sparse sample d...
128
Voted
BMCBI
2010
15 years 2 months ago
2010
Background: This paper introduces the notion of optimizing different norms in the dual problem of support vector machines with multiple kernels. The selection of norms yields diff...
118
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ICDM
2009
IEEE
15 years 9 months ago
2009
IEEE
—We consider the problem of learning a linear combination of pre-specified kernel matrices in the Fisher discriminant analysis setting. Existing methods for such a task impose a...
131
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CORR
2010
Springer
14 years 9 months ago
2010
Springer
The goal of this paper is the development of a novel approach for the problem of Noise Removal, based on the theory of Reproducing Kernels Hilbert Spaces (RKHS). The problem is ca...
121
Voted
FGR
2004
IEEE
15 years 6 months ago
2004
IEEE
The null space-based LDA takes full advantage of the null space while the other methods remove the null space. It proves to be optimal in performance. From the theoretical analysi...