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» Decision Making Using Probabilistic Inference Methods
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VISUALIZATION
2005
IEEE
15 years 10 months ago
Statistically Quantitative Volume Visualization
Visualization users are increasingly in need of techniques for assessing quantitative uncertainty and error in the images produced. Statistical segmentation algorithms compute the...
Joe Michael Kniss, Robert L. Van Uitert Jr., Abrah...
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TIME
1994
IEEE
15 years 8 months ago
Belief Revision in a Discrete Temporal Probability-Logic
We describe a discrete time probabilitylogic for use as the representation language of a temporal knowledge base. In addition to the usual expressive power of a discrete temporal ...
Scott D. Goodwin, Howard J. Hamilton, Eric Neufeld...
INTERSPEECH
2010
14 years 11 months ago
Online adaptive learning for speech recognition decoding
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....
Jeff Bilmes, Hui Lin
KBSE
2010
IEEE
15 years 3 months ago
Solving string constraints lazily
Decision procedures have long been a fixture in program analysis, and reasoning about string constraints is a key element in many program analyses and testing frameworks. Recent ...
Pieter Hooimeijer, Westley Weimer
CVPR
2011
IEEE
15 years 25 days ago
On Deep Generative Models with Applications to Recognition
The most popular way to use probabilistic models in vision is first to extract some descriptors of small image patches or object parts using well-engineered features, and then to...
Marc', Aurelio Ranzato, Joshua Susskind, Volodymyr...