1514 search results - page 170 / 303 » Co-Tracking Using Semi-Supervised Support Vector Machines |
168
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ESANN
2007
15 years 7 months ago
2007
Radial basis function network (RBF) kernels are widely used for support vector machines (SVMs). But for model selection of an SVM, we need to optimize the kernel parameter and the ...
132
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ESANN
2008
15 years 7 months ago
2008
This paper presents a review of methodology for semi-supervised modeling with kernel methods, when the manifold assumption is guaranteed to be satisfied. It concerns environmental ...
170
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ECCV
2010
Springer
15 years 7 months ago
2010
Springer
In this paper, we tackle the problem of characterizing the aesthetic appeal of consumer videos and automatically classifying them into high or low aesthetic appeal. First, we condu...
171
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JMLR
2006
15 years 6 months ago
2006
Support vector machines are trained by solving constrained quadratic optimization problems. This is usually done with an iterative decomposition algorithm operating on a small wor...
148
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PR
2008
15 years 6 months ago
2008
A maximum-entropy approach to generative similarity-based classifiers model is proposed. First, a descriptive set of similarity statistics is assumed to be sufficient for classifi...