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» Using Bayesian Networks to Model Agent Relationships
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ICCV
2001
IEEE
14 years 9 months ago
Multi-Agent Event Recognition
This paper presents a new approachto recognizingmultiagent events observed by a static camera. To track objects robustly, knowledgeabout the groundplaneand the events is used. An ...
Somboon Hongeng, Ramakant Nevatia
NIPS
2004
13 years 9 months ago
Constraining a Bayesian Model of Human Visual Speed Perception
It has been demonstrated that basic aspects of human visual motion perception are qualitatively consistent with a Bayesian estimation framework, where the prior probability distri...
Alan Stocker, Eero P. Simoncelli
WWW
2006
ACM
14 years 8 months ago
Logical structure based semantic relationship extraction from semi-structured documents
Addressed in this paper is the issue of semantic relationship extraction from semi-structured documents. Many research efforts have been made so far on the semantic information ex...
Kuo Zhang, Gang Wu, Juan-Zi Li
IJCAI
2003
13 years 9 months ago
Dynamic Bayesian modeling of the cerebral activity
Conventional methods used for the interpretation of activation data provided by functional neuroimaging techniques provide useful insights on what the networks of cerebral structu...
Vincent Labatut, Josette Pastor, Serge Ruff
ACSC
2006
IEEE
14 years 1 months ago
Trust network analysis with subjective logic
Trust networks consist of transitive trust relationships between people, organisations and software agents connected through a medium for communication and interaction. By formali...
Audun Jøsang, Ross Hayward, Simon Pope