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ICPR
2002
IEEE
16 years 7 months ago
Boosting and Structure Learning in Dynamic Bayesian Networks for Audio-Visual Speaker Detection
Bayesian networks are an attractive modeling tool for human sensing, as they combine an intuitive graphical representation with ef?cient algorithms for inference and learning. Ear...
Tanzeem Choudhury, James M. Rehg, Vladimir Pavlovi...
GECCO
2004
Springer
132views Optimization» more  GECCO 2004»
15 years 12 months ago
Optimizing Topology and Parameters of Gene Regulatory Network Models from Time-Series Experiments
Abstract. In this paper we address the problem of finding gene regulatory networks from experimental DNA microarray data. Different approaches to infer the dependencies of gene r...
Christian Spieth, Felix Streichert, Nora Speer, An...
IMC
2003
ACM
15 years 11 months ago
Simple network performance tomography
In network performance tomography, characteristics of the network interior are inferred by correlating end-to-end measurements. In much previous work, the presence of correlations...
Nick G. Duffield
UAI
1997
15 years 7 months ago
Object-Oriented Bayesian Networks
Bayesian networks provide a modeling language and associated inference algorithm for stochastic domains. They have been successfully applied in a variety of medium-scale applicati...
Daphne Koller, Avi Pfeffer
MVA
2007
230views Computer Vision» more  MVA 2007»
15 years 8 months ago
A Rear Vehicle Location Algorithm for Lane Change Assist
A monocular vision based location algorithm is presented to detect and track rear vehicles for lane change assist. The algorithm uses the shadow underneath the vehicle to extract ...
Wei Liu, Chunyan Song, Pengyu Fu, Nan Wang, Huai Y...