225 search results - page 14 / 45 » Kernel Basis Pursuit |
IJON
2006
15 years 1 months ago
2006
In this paper we propose a novel approach for modeling kernels in Radial Basis Function networks. The method provides an extra degree of flexibility to the kernel structure. This ...
97
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ICAISC
2004
Springer
15 years 7 months ago
2004
Springer
The problem of locating centers for radial basis functions in neural networks is discussed. The proposed approach allows us to apply the results from the theory of optimum experime...
138
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TNN
2010
14 years 8 months ago
2010
Abstract--Recently, sparse approximation has become a preferred method for learning large scale kernel machines. This technique attempts to represent the solution with only a subse...
115
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ICRA
2007
IEEE
15 years 8 months ago
2007
IEEE
— The least squares approach works efficiently in value function approximation, given appropriate basis functions. Because of its smoothness, the Gaussian kernel is a popular an...
125
Voted
FGR
2006
IEEE
15 years 5 months ago
2006
IEEE
Non-linear subspaces derived using kernel methods have been found to be superior compared to linear subspaces in modeling or classification tasks of several visual phenomena. Such...