299 search results - page 7 / 60 » Multiple kernel learning and feature space denoising |
ML
2007
ACM
14 years 11 months ago
2007
ACM
In this paper, we continue our study of learning an optimal kernel in a prescribed convex set of kernels, [18]. We present a reformulation of this problem within a feature space e...
ISNN
2007
Springer
15 years 5 months ago
2007
Springer
Manifold learning algorithms have been proven to be capable of discovering some nonlinear structures. However, it is hard for them to extend to test set directly. In this paper, a ...
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JMLR
2008
14 years 11 months ago
2008
Regularized kernel discriminant analysis (RKDA) performs linear discriminant analysis in the feature space via the kernel trick. Its performance depends on the selection of kernel...
APIN
2004
14 years 11 months ago
2004
ICML
2007
IEEE
16 years 13 days ago
2007
IEEE
We address the problem of feature selection in a kernel space to select the most discriminative and informative features for classification and data analysis. This is a difficult ...