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» Modeling Dependable Systems using Hybrid Bayesian Networks
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IJCV
2007
134views more  IJCV 2007»
13 years 8 months ago
Multi-sensory and Multi-modal Fusion for Sentient Computing
This paper presents an approach to multi-sensory and multi-modal fusion in which computer vision information obtained from calibrated cameras is integrated with a large-scale sent...
Christopher Town
JIRS
2008
100views more  JIRS 2008»
13 years 8 months ago
Model-based Predictive Control of Hybrid Systems: A Probabilistic Neural-network Approach to Real-time Control
Abstract This paper proposes an approach for reducing the computational complexity of a model-predictive-control strategy for discrete-time hybrid systems with discrete inputs only...
Bostjan Potocnik, Gasper Music, Igor Skrjanc, Boru...
VTC
2008
IEEE
207views Communications» more  VTC 2008»
14 years 3 months ago
Practical Results of Hybrid AOA/TDOA Geo-Location Estimation in CDMA Wireless Networks
—This paper describes a hybrid AOA/TODA Mobile Station (MS) location estimation method based on the CDMA wireless communications signals. The method utilized estimates the Angle ...
Ali Broumandan, Tao Lin, John Nielsen, Géra...
JCB
2002
131views more  JCB 2002»
13 years 8 months ago
Modeling and Simulation of Genetic Regulatory Systems: A Literature Review
In order to understand the functioning of organisms on the molecular level, we need to know which genes are expressed, when and where in the organism, and to which extent. The reg...
Hidde de Jong
ICML
2009
IEEE
14 years 9 months ago
Learning structurally consistent undirected probabilistic graphical models
In many real-world domains, undirected graphical models such as Markov random fields provide a more natural representation of the dependency structure than directed graphical mode...
Sushmita Roy, Terran Lane, Margaret Werner-Washbur...