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» Probabilistic Combination of Multiple Evidence
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ACL
2012
11 years 9 months ago
Probabilistic Integration of Partial Lexical Information for Noise Robust Haptic Voice Recognition
This paper presents a probabilistic framework that combines multiple knowledge sources for Haptic Voice Recognition (HVR), a multimodal input method designed to provide efficient...
Khe Chai Sim
ICPR
2006
IEEE
14 years 7 months ago
Boosted Markov Chain Monte Carlo Data Association for Multiple Target Detection and Tracking
In this paper, we present a probabilistic framework for automatic detection and tracking of objects. We address the data association problem by formulating the visual tracking as ...
Bo Wu, Gérard G. Medioni, Isaac Cohen, Qian...
AI
2008
Springer
13 years 5 months ago
MEBN: A language for first-order Bayesian knowledge bases
Although classical first-order logic is the de facto standard logical foundation for artificial intelligence, the lack of a built-in, semantically grounded capability for reasonin...
Kathryn B. Laskey
ICCV
2001
IEEE
14 years 8 months ago
Learning Image Statistics for Bayesian Tracking
This paper describes a framework for learning probabilistic models of objects and scenes and for exploiting these models for tracking complex, deformable, or articulated objects i...
Hedvig Sidenbladh, Michael J. Black
ICDE
2010
IEEE
248views Database» more  ICDE 2010»
13 years 11 months ago
MashRank: Towards uncertainty-aware and rank-aware mashups
Mashups are situational applications that build data flows to link the contents of multiple Web sources. Often times, ranking the results of a mashup is handled in a materializethe...
Mohamed A. Soliman, Mina Saleeb, Ihab F. Ilyas