2103 search results - page 57 / 421 » Approximate Learning of Dynamic Models |
101
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INTERSPEECH
2010
14 years 9 months ago
2010
We describe a new method for pruning in dynamic models based on running an adaptive filtering algorithm online during decoding to predict aspects of the scores in the near future....
136
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CVPR
2000
IEEE
16 years 4 months ago
2000
IEEE
?Gibbsian fields or Markov random fields are widely used in Bayesian image analysis, but learning Gibbs models is computationally expensive. The computational complexity is pronoun...
123
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CVPR
2005
IEEE
16 years 4 months ago
2005
IEEE
In this work we propose a model for video scenes that contain temporal variability in shape and appearance. We propose a conditionally linear model akin to a dynamic extension of ...
193
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ICIP
2005
IEEE
16 years 4 months ago
2005
IEEE
In this paper, we propose a novel framework for face super-resolution based on a layered predictor network. In the first layer, multiple predictors are trained online with a dynami...
97
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ICML
2006
IEEE
16 years 3 months ago
2006
IEEE
We present an efficient method for maximizing energy functions with first and second order potentials, suitable for MAP labeling estimation problems that arise in undirected graph...