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» Models for Incomplete and Probabilistic Information
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EJWCN
2010
122views more  EJWCN 2010»
14 years 11 months ago
Using Model Checking for Analyzing Distributed Power Control Problems
Model checking (MC) is a formal verification technique which has known and still knows a resounding success in the computer science community. Realizing that the distributed power...
Thomas Brihaye, Marc Jungers, Samson Lasaulce, Nic...
ECSQARU
2005
Springer
15 years 10 months ago
Hydrologic Models for Emergency Decision Support Using Bayesian Networks
In the presence of a river flood, operators in charge of control must take decisions based on imperfect and incomplete sources of information (e.g., data provided by a limited numb...
Martín Molina, Raquel Fuentetaja, Luis Garr...
ACIVS
2006
Springer
15 years 8 months ago
Context-Based Scene Recognition Using Bayesian Networks with Scale-Invariant Feature Transform
Scene understanding is an important problem in intelligent robotics. Since visual information is uncertain due to several reasons, we need a novel method that has robustness to the...
Seung-Bin Im, Sung-Bae Cho
AAAI
2012
13 years 6 months ago
An Object-Based Bayesian Framework for Top-Down Visual Attention
We introduce a new task-independent framework to model top-down overt visual attention based on graphical models for probabilistic inference and reasoning. We describe a Dynamic B...
Ali Borji, Dicky N. Sihite, Laurent Itti
CVPR
2005
IEEE
16 years 6 months ago
Full Body Tracking from Multiple Views Using Stochastic Sampling
We present a novel approach for full body pose tracking using stochastic sampling. A volumetric reconstruction of a person is extracted from silhouettes in multiple video images. ...
Roland Kehl, Matthieu Bray, Luc J. Van Gool