515 search results - page 62 / 103 » Approximating Markov Processes by Averaging |
190
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JAIR
2008
15 years 6 months ago
2008
Probabilistic planning problems are typically modeled as a Markov Decision Process (MDP). MDPs, while an otherwise expressive model, allow only for sequential, non-durative action...
145
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ICASSP
2011
IEEE
14 years 9 months ago
2011
IEEE
This paper studies a variational Bayesian unmixing algorithm for hyperspectral images based on the standard linear mixing model. Each pixel of the image is modeled as a linear com...
240
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ICASSP
2011
IEEE
14 years 9 months ago
2011
IEEE
This paper investigates a Bayesian model and a Markov chain Monte Carlo (MCMC) algorithm for gene factor analysis. Each sample in the dataset is decomposed as a linear combination...
166
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ICIP
2003
IEEE
16 years 7 months ago
2003
IEEE
This paper introduces a novel deformable model for face mapping and its application to automatic person identification. While most face recognition techniques directly model the f...
159
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ICIP
2002
IEEE
16 years 7 months ago
2002
IEEE
We describe a method for inferring tree-like vascular structures from 2D imagery. A Markov Chain Monte Carlo (MCMC) algorithm is employed to produce approximate samples from the p...