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» A Bayesian Approach to Tackling Hard Computational Problems
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ECAI
2010
Springer
13 years 8 months ago
A Decentralised Symbolic Diagnosis Approach
This paper considers the diagnosis of large discrete-event systems consisting of many components. The problem is to determine, online, all failures and states that explain a given...
Anika Schumann, Yannick Pencolé, Sylvie Thi...
CVPR
2005
IEEE
14 years 9 months ago
Bayesian 3D Modeling from Images Using Multiple Depth Maps
This paper addresses the problem of reconstructing the geometry and color of a Lambertian scene, given some fully calibrated images acquired with wide baselines. In order to compl...
Pau Gargallo, Peter F. Sturm
COLING
2002
13 years 7 months ago
An Agent-based Approach to Chinese Named Entity Recognition
Chinese NE (Named Entity) recognition is a difficult problem because of the uncertainty in word segmentation and flexibility in language structure. This paper proposes the use of ...
Shiren Ye, Tat-Seng Chua, Jimin Liu
ECCV
2004
Springer
14 years 28 days ago
A Probabilistic Approach to Large Displacement Optical Flow and Occlusion Detection
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...
Christoph Strecha, Rik Fransens, Luc J. Van Gool
ECCV
1994
Springer
13 years 11 months ago
Markov Random Field Models in Computer Vision
A variety of computer vision problems can be optimally posed as Bayesian labeling in which the solution of a problem is dened as the maximum a posteriori (MAP) probability estimate...
Stan Z. Li