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» A Bayesian Approach to Tackling Hard Computational Problems
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ECAI
2010
Springer
15 years 5 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
16 years 6 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
15 years 3 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
15 years 9 months 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
15 years 8 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