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CDC
2009
IEEE
179views Control Systems» more  CDC 2009»
14 years 5 days ago
Bayesian network approach to understand regulation of biological processes in cyanobacteria
— Bayesian networks have extensively been used in numerous fields including artificial intelligence, decision theory and control. Its ability to utilize noisy and missing data ...
Thanura R. Elvitigala, Abhay K. Singh, Himadri B. ...
KES
2005
Springer
14 years 29 days ago
Bayesian Inference Driven Behavior Network Architecture for Avoiding Moving Obstacles
This paper presents a technique for an intelligent robot to adaptively behave in unforeseen and dynamic circumstances. Since the traditional methods utilized the relatively reliabl...
Hyeun-Jeong Min, Sung-Bae Cho
CJ
2010
131views more  CJ 2010»
13 years 4 months ago
Probabilistic Approaches to Estimating the Quality of Information in Military Sensor Networks
an be used to abstract away from the physical reality by describing it as components that exist in discrete states with probabilistically invoked actions that change the state. The...
Duncan Gillies, David Thornley, Chatschik Bisdikia...
ICCV
2003
IEEE
14 years 9 months ago
Tracking Articulated Body by Dynamic Markov Network
A new method for visual tracking of articulated objects is presented. Analyzing articulated motion is challenging because the dimensionality increase potentially demands tremendou...
Ying Wu, Gang Hua, Ting Yu
CORR
2007
Springer
193views Education» more  CORR 2007»
13 years 7 months ago
Multi-Sensor Fusion Method using Dynamic Bayesian Network for Precise Vehicle Localization and Road Matching
This paper presents a multi-sensor fusion strategy for a novel road-matching method designed to support real-time navigational features within advanced driving-assistance systems....
Cherif Smaili, Maan E. El Najjar, François ...