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ECAI
2010
Springer
13 years 11 months ago
Probabilistic Logic with Conditional Independence Formulae
We investigate probabilistic propositional logic as a way of expressing and reasoning about uncertainty. In contrast to Bayesian networks, a logical approach can easily cope with i...
Magdalena Ivanovska, Martin Giese
CVPR
1998
IEEE
15 years 4 days ago
A Statistical Framework for Long-Range Feature Matching in Uncalibrated Image Mosaicing
The problem considered in this paper is that of estimating the projective transformation between two images in situations where the image motion is large and featurematching is no...
Tat-Jen Cham, Roberto Cipolla
ICIP
1999
IEEE
14 years 11 months ago
Uncertainties in Bayesian Geometric Models
Deformable geometric models fit very naturally into the context of Bayesian analysis. The prior probability of boundary shapes is taken to proportional to the negative exponential...
Kenneth M. Hanson, Gregory S. Cunningham, Robert J...
DCC
2007
IEEE
14 years 9 months ago
Bayesian Detection in Bounded Height Tree Networks
We study the detection performance of large scale sensor networks, configured as trees with bounded height, in which information is progressively compressed as it moves towards th...
Wee-Peng Tay, John N. Tsitsiklis, Moe Z. Win
SIGIR
2009
ACM
14 years 4 months ago
A bayesian learning approach to promoting diversity in ranking for biomedical information retrieval
In this paper, we propose a Bayesian learning approach to promoting diversity for information retrieval in biomedicine and a re-ranking model to improve retrieval performance in t...
Xiangji Huang, Qinmin Hu