81 search results - page 10 / 17 » Graphical Models, Exponential Families, and Variational Infe... |
ICDM
2009
IEEE
15 years 4 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...
ICDM
2008
IEEE
15 years 4 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 ...
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AI
2011
Springer
14 years 1 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...
ICML
2007
IEEE
15 years 10 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...
WACV
2005
IEEE
15 years 3 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...