12 search results - page 2 / 3 » Multi-task feature and kernel selection for SVMs |
ICML
2010
IEEE
13 years 5 months ago
2010
IEEE
A sparse representation of Support Vector Machines (SVMs) with respect to input features is desirable for many applications. In this paper, by introducing a 0-1 control variable t...
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
This paper presents an approach for a multi-cue based two-dimensional gesture recognition that combines two different forms of cues, namely shape cues and motion cues, in a suppor...
JMLR
2006
13 years 4 months ago
2006
While classical kernel-based learning algorithms are based on a single kernel, in practice it is often desirable to use multiple kernels. Lanckriet et al. (2004) considered conic ...
IJCNN
2008
IEEE
13 years 11 months ago
2008
IEEE
— We discuss sparse support vector machines (sparse SVMs) trained in the reduced empirical feature space. Namely, we select the linearly independent training data by the Cholesky...
AINA
2007
IEEE
13 years 11 months ago
2007
IEEE
This paper describes results concerning the robustness and generalization capabilities of kernel methods in detecting coordinated distributed multiple attacks (CDMA) using network...