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177
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KDD
2007
ACM
16 years 6 months ago
2007
ACM
The kernel function plays a central role in kernel methods. In this paper, we consider the automated learning of the kernel matrix over a convex combination of pre-specified kerne...
219
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ACCV
2010
Springer
15 years 1 months ago
2010
Springer
Abstract. This paper proposes a novel method to deal with the representation issue in texture classification. A learning framework of image descriptor is designed based on the Fish...
182
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WWW
2006
ACM
16 years 7 months ago
2006
ACM
Large-scale text categorization is an important research topic for Web data mining. One of the challenges in large-scale text categorization is how to reduce the amount of human e...
157
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ICALP
2009
Springer
16 years 6 months ago
2009
Springer
We give new algorithms for learning halfspaces in the challenging malicious noise model, where an adversary may corrupt both the labels and the underlying distribution of examples....
195
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JMLR
2008
15 years 6 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...