5302 search results - page 396 / 1061 » Learning How to Separate |
169
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ICCV
2009
IEEE
16 years 11 months ago
2009
IEEE
Supervised learning of a parts-based model can be for-
mulated as an optimization problem with a large (exponen-
tial in the number of parts) set of constraints. We show how
thi...
209
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ICCV
2007
IEEE
16 years 8 months ago
2007
IEEE
Discriminative methods for visual object category recognition are typically non-probabilistic, predicting class labels but not directly providing an estimate of uncertainty. Gauss...
163
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ICIP
2008
IEEE
16 years 8 months ago
2008
IEEE
Multi-concept learning is an important problem in multimedia content analysis and retrieval. It connects two key components in the multimedia semantic ecosystem: multimedia lexico...
161
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ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
When constructing a classifier from labeled data, it is important not to assign too much weight to any single input feature, in order to increase the robustness of the classifier....
174
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ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
In many domains, a Bayesian network's topological structure is not known a priori and must be inferred from data. This requires a scoring function to measure how well a propo...