155 search results - page 7 / 31 » Sparse support vector machines trained in the reduced empiri... |
NAACL
2001
13 years 10 months ago
2001
We apply Support Vector Machines (SVMs) to identify English base phrases (chunks). SVMs are known to achieve high generalization performance even with input data of high dimension...
ICASSP
2008
IEEE
14 years 3 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...
ICMLA
2008
13 years 10 months ago
2008
In this paper, we introduce two new formulations for multi-class multi-kernel relevance vector machines (mRVMs) that explicitly lead to sparse solutions, both in samples and in nu...
NIPS
2007
13 years 10 months ago
2007
Support Vector Machines (SVMs) suffer from a widely recognized scalability problem in both memory use and computational time. To improve scalability, we have developed a parallel ...
ICPR
2006
IEEE
14 years 2 months ago
2006
IEEE
We investigated the geometrical complexity of several high-dimensional, small sample classification problems and its changes due to two popular feature selection procedures, forw...