3668 search results - page 476 / 734 » Margin Distribution and Learning |
334
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DAGM
2011
Springer
14 years 6 months ago
2011
Springer
The supervised learning paradigm assumes in general that both training and test data are sampled from the same distribution. When this assumption is violated, we are in the setting...
162
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CVPR
2004
IEEE
16 years 8 months ago
2004
IEEE
Bayesian methods for visual tracking model the likelihood of image measurements conditioned on a tracking hypothesis. Image measurements may, for example, correspond to various fi...
182
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ECCV
2008
Springer
16 years 8 months ago
2008
Springer
Most existing appearance models for visual tracking usually construct a pixel-based representation of object appearance so that they are incapable of fully capturing both global an...
155
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ICPR
2008
IEEE
16 years 7 months ago
2008
IEEE
We describe an ensemble approach to learning1 salient regions from data partitioned according to the2 distributed processing requirements of large-scale sim-3 ulations. The volume...
173
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ICPR
2006
IEEE
16 years 7 months ago
2006
IEEE
Recently, boosting is used widely in object detection applications because of its impressive performance in both speed and accuracy. However, learning weak classifiers which is on...