1253 search results - page 105 / 251 » Feature selection for linear support vector machines |
128
Voted
SDM
2009
SIAM
16 years 16 days ago
2009
SIAM
Support Vector Machines (SVMs) are a leading tool in classification and pattern recognition and the kernel function is one of its most important components. This function is used...
116
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CICLING
2010
Springer
14 years 10 months ago
2010
Springer
The Arabic language is a highly flexional and morphologically very rich language. It presents serious challenges to the automatic classification of documents, one of which is deter...
143
Voted
LREC
2008
15 years 4 months ago
2008
In this paper we present an algorithm for automatic extraction of textual elements, namely titles and full text, associated with news stories in news web pages. We propose a super...
126
Voted
ICML
2006
IEEE
16 years 4 months ago
2006
IEEE
In Kernel Fisher discriminant analysis (KFDA), we carry out Fisher linear discriminant analysis in a high dimensional feature space defined implicitly by a kernel. The performance...
150
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ICIP
2003
IEEE
15 years 8 months ago
2003
IEEE
Two hybrid systems for classifying seven categories of human facial expression are proposed. The £rst system combines independent component analysis (ICA) and support vector mach...