81 search results - page 10 / 17 » Graphical Models, Exponential Families, and Variational Infe... |
188
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ICDM
2009
IEEE
16 years 2 months ago
2009
IEEE
Although mixed-membership models have achieved great success in unsupervised learning, they have not been widely applied to classification problems. In this paper, we propose a f...
206
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ICDM
2008
IEEE
16 years 1 months ago
2008
IEEE
The problem of overlapping clustering, where a point is allowed to belong to multiple clusters, is becoming increasingly important in a variety of applications. In this paper, we ...
260
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AI
2011
Springer
14 years 11 months ago
2011
Springer
Probabilistic inference in graphical models is a prevalent task in statistics and artificial intelligence. The ability to perform this inference task efficiently is critical in l...
182
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ICML
2007
IEEE
16 years 8 months ago
2007
IEEE
Many collective labeling tasks require inference on graphical models where the clique potentials depend only on the number of nodes that get a particular label. We design efficien...
152
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WACV
2005
IEEE
16 years 1 months ago
2005
IEEE
Adaptive background modeling/subtraction techniques are popular, in particular, because they are able to cope with background variations that are due to lighting variations. Unfor...