2103 search results - page 176 / 421 » Approximate Learning of Dynamic Models |
146
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TSP
2010
14 years 11 months ago
2010
We consider the problem of learning Gaussian multiresolution (MR) models in which data are only available at the finest scale and the coarser, hidden variables serve both to captu...
139
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ECAI
2006
Springer
15 years 8 months ago
2006
Springer
We describe Polynomial Conditional Random Fields for signal processing tasks. It is a hybrid model that combines the ability of Polynomial Hidden Markov models for modeling complex...
158
Voted
SIGGRAPH
1998
ACM
15 years 9 months ago
1998
ACM
We present a method that uses measured scene radiance and global illumination in order to add new objects to light-based models with correct lighting. The method uses a high dynam...
115
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ICML
2005
IEEE
16 years 5 months ago
2005
IEEE
We present a variational Bayesian framework for performing inference, density estimation and model selection in a special class of graphical models--Hidden Markov Random Fields (H...
183
Voted
SIGMOD
2012
ACM
13 years 7 months ago
2012
ACM
As cloud computing environments become explosively popular, dealing with unpredictable changes, uncertainties, and disturbances in both systems and environments turns out to be on...