132 search results - page 18 / 27 » Context-specific approximation in probabilistic inference |
111
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CVPR
2009
IEEE
16 years 7 months ago
2009
IEEE
Image classification and annotation are important problems
in computer vision, but rarely considered together. Intuitively,
annotations provide evidence for the class label,
and...
227
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ICDE
2007
IEEE
16 years 1 months ago
2007
IEEE
The ability to store and query uncertain information is of great benefit to databases that infer values from a set of observations, including databases of moving objects, sensor r...
107
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ICCD
2002
IEEE
15 years 9 months ago
2002
IEEE
We represent switching activity in VLSI circuits using a graphical probabilistic model based on Cascaded Bayesian Networks (CBN’s). We develop an elegant method for maintaining ...
103
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NN
1997
Springer
15 years 4 months ago
1997
Springer
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
UAI
2008
15 years 1 months ago
2008
Formal languages for probabilistic modeling enable re-use, modularity, and descriptive clarity, and can foster generic inference techniques. We introduce Church, a universal langu...