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» Probabilistic Inference in Queueing Networks
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CORR
2010
Springer
98views Education» more  CORR 2010»
13 years 5 months ago
Scheduling with Rate Adaptation under Incomplete Knowledge of Channel/Estimator Statistics
In time-varying wireless networks, the states of the communication channels are subject to random variations, and hence need to be estimated for efficient rate adaptation and sched...
Wenzhuo Ouyang, Sugumar Murugesan, Atilla Eryilmaz...
IJON
2008
98views more  IJON 2008»
13 years 7 months ago
Factorisation and denoising of 0-1 data: A variational approach
Presence-absence (0-1) observations are special in that often the absence of evidence is not evidence of absence. Here we develop an independent factor model, which has the unique...
Ata Kabán, Ella Bingham
AAAI
1994
13 years 9 months ago
The Automated Mapping of Plans for Plan Recognition
To coordinate with other agents in its environment, an agent needs models of what the other agents are trying to do. When communication is impossible or expensive, this informatio...
Marcus J. Huber, Edmund H. Durfee, Michael P. Well...
ECCV
2008
Springer
14 years 9 months ago
Constrained Maximum Likelihood Learning of Bayesian Networks for Facial Action Recognition
Probabilistic graphical models such as Bayesian Networks have been increasingly applied to many computer vision problems. Accuracy of inferences in such models depends on the quali...
Cassio Polpo de Campos, Yan Tong, Qiang Ji
ROMAN
2007
IEEE
179views Robotics» more  ROMAN 2007»
14 years 2 months ago
A Bayesian Network Framework for Vision Based Semantic Scene Understanding
— For a robot to understand a scene, we have to infer and extract meaningful information from vision sensor data. Since scene understanding consists in recognizing several visual...
Seung-Bin Im, Keum-Sung Hwang, Sung-Bae Clio