976 search results - page 42 / 196 » Training of Support Vector Machines with Mahalanobis Kernels |
154
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ICASSP
2011
IEEE
14 years 9 months ago
2011
IEEE
We propose an improved spoken term detection approach that uses support vector machines trained with lattice context consistency. The basic idea is that the same term usually have...
178
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CAIP
2003
Springer
15 years 11 months ago
2003
Springer
Abstract. The support vector machine is basically to deal with a two-class classification problem. To get M-class classifiers for face recognition, it is common to construct a set ...
191
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TNN
2010
15 years 23 days ago
2010
Abstract--Recently, sparse approximation has become a preferred method for learning large scale kernel machines. This technique attempts to represent the solution with only a subse...
222
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BIBE
2008
IEEE
15 years 6 months ago
2008
IEEE
This paper presents a novel method for DNA microarray gridding based on Support Vector Machine (SVM) classifiers. It employs a set of soft-margin SVMs to estimate the lines of the ...
145
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NECO
2007
15 years 5 months ago
2007
Support Vector Machine (SVM) has been spotlighted in the machine learning community thanks to its theoretical soundness and practical performance. When applied to a large data set...