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» Dynamic multiagent probabilistic inference
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ATAL
2005
Springer
14 years 3 months ago
A multiagent system manages collaboration in emergent processes
Emergent processes are non-routine, collaborative business processes whose execution is guided by the knowledge that emerges during a process instance. In so far as the process go...
John K. Debenham
ICCV
2007
IEEE
13 years 11 months ago
COST: An Approach for Camera Selection and Multi-Object Inference Ordering in Dynamic Scenes
Development of multiple camera based vision systems for analysis of dynamic objects such as humans is challenging due to occlusions and similarity in the appearance of a person wi...
Abhinav Gupta, Anurag Mittal, Larry S. Davis
NIPS
1998
13 years 11 months ago
Approximate Learning of Dynamic Models
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
Xavier Boyen, Daphne Koller
ICPR
2010
IEEE
14 years 3 months ago
Dynamic Amelioration of Resolution Mismatches for Local Feature Based Identity Inference
While existing face recognition systems based on local features are robust to issues such as misalignment, they can exhibit accuracy degradation when comparing images of differing...
Yongkang Wong, Conrad Sanderson, Sandra Mau, Brian...
ICRA
2010
IEEE
148views Robotics» more  ICRA 2010»
13 years 7 months ago
An integrated probabilistic model for scan-matching, moving object detection and motion estimation
Abstract-- This paper presents a novel framework for integrating fundamental tasks in robotic navigation through a statistical inference procedure. A probabilistic model that joint...
Joop van de Ven, Fabio Ramos, Gian Diego Tipaldi