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131
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NIPS
2003
15 years 4 months ago
2003
We present an analysis of concentration-of-expectation phenomena in layered Bayesian networks that use generalized linear models as the local conditional probabilities. This frame...
128
Voted
UAI
1993
15 years 4 months ago
1993
I introduce a temporal belief-network representation of causal independence that a knowledge engineer can use to elicit probabilistic models. Like the current, atemporal belief-ne...
103
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ICUMT
2009
15 years 19 days ago
2009
In this paper, we derive the explicit series expansion of the eigenvalue distribution of various models, namely the case of non-central Wishart distributions as well as one sided c...
136
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ICCV
2009
IEEE
16 years 8 months ago
2009
IEEE
In recent years the Markov Random Field (MRF) has
become the de facto probabilistic model for low-level vision
applications. However, in a maximum a posteriori
(MAP) framework, ...
110
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ICCV
2007
IEEE
16 years 4 months ago
2007
IEEE
Thanks to recent progress in category-level object recognition, we have now come to a point where these techniques have gained sufficient maturity and accuracy to succesfully feed...