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» Exploiting Causal Independence in Large Bayesian Networks
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ICCV
2003
IEEE
14 years 9 months ago
Recognition of Group Activities using Dynamic Probabilistic Networks
Dynamic Probabilistic Networks (DPNs) are exploited for modelling the temporal relationships among a set of different object temporal events in the scene for a coherent and robust...
Shaogang Gong, Tao Xiang
CVPR
2006
IEEE
14 years 9 months ago
Multi-Target Tracking - Linking Identities using Bayesian Network Inference
Multi-target tracking requires locating the targets and labeling their identities. The latter is a challenge when many targets, with indistinct appearances, frequently occlude one...
Peter Nillius, Josephine Sullivan, Stefan Carlsson
CVPR
2004
IEEE
14 years 9 months ago
Learning a Restricted Bayesian Network for Object Detection
Many classes of images have the characteristics of sparse structuring of statistical dependency and the presence of conditional independencies among various groups of variables. S...
Henry Schneiderman
IWDC
2001
Springer
115views Communications» more  IWDC 2001»
14 years 3 days ago
Pricing-Based Control of Large Networks
— In this paper we show that significant simplicity can be exploited for pricing-based control of large networks. We first consider a general loss network with Poisson arrivals...
Xiaojun Lin, Ness B. Shroff
DASFAA
2007
IEEE
175views Database» more  DASFAA 2007»
14 years 2 months ago
Bayesian Reasoning for Sensor Group-Queries and Diagnosis
As large-scale sensor networks are being deployed with the objective of collecting quality data to support user queries and decision-making, the role of a scalable query model beco...
Ankur Jain, Edward Y. Chang, Yuan-Fang Wang