3352 search results - page 67 / 671 » Hierarchical Problem Solving and the Bayesian Optimization A... |
133
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ICPR
2008
IEEE
16 years 6 months ago
2008
IEEE
When a large amount of data are missing, or when multiple hidden nodes exist, learning parameters in Bayesian networks (BNs) becomes extremely difficult. This paper presents a lea...
158
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ECCV
2006
Springer
16 years 6 months ago
2006
Springer
Abstract. Bayesian inference provides a powerful framework to optimally integrate statistically learned prior knowledge into numerous computer vision algorithms. While the Bayesian...
140
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ICIP
2009
IEEE
16 years 6 months ago
2009
IEEE
Photographs acquired under low-light conditions require long exposure times and therefore exhibit significant blurring due to the shaking of the camera. Using shorter exposure tim...
167
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JMLR
2008
15 years 4 months ago
2008
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
138
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ECCV
2004
Springer
15 years 10 months ago
2004
Springer
This paper deals with the computation of optical flow and occlusion detection in the case of large displacements. We propose a Bayesian approach to the optical flow problem and s...