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SCALESPACE
2001
Springer
15 years 10 months ago
Bayesian Object Detection through Level Curves Selection
Bayesian statistical theory is a convenient way of taking a priori information into consideration when inference is made from images. In Bayesian image detection, the a priori dist...
Charles Kervrann
ICCV
2009
IEEE
15 years 4 months ago
Bayesian Poisson regression for crowd counting
Poisson regression models the noisy output of a counting function as a Poisson random variable, with a log-mean parameter that is a linear function of the input vector. In this wo...
Antoni B. Chan, Nuno Vasconcelos
AI
2007
Springer
15 years 6 months ago
An application of formal argumentation: Fusing Bayesian networks in multi-agent systems
We consider a multi-agent system where each agent is equipped with a Bayesian network, and present an open framework for the agents to agree on a possible consensus network. The f...
Søren Holbech Nielsen, Simon Parsons
JCP
2007
150views more  JCP 2007»
15 years 6 months ago
Bayesian Networks and Evidence Theory to Model Complex Systems Reliability
Abstract— This paper deals with the use of Bayesian Networks to compute system reliability of complex systems under epistemic uncertainty. In the context of incompleteness of rel...
Christophe Simon, Philippe Weber, Eric Levrat
CISS
2008
IEEE
15 years 8 months ago
Network tomography based on additive metrics
Inference of the network structure (e.g., routing topology) and dynamics (e.g., traffic matrices, link performance) is an important component in many network design and management ...
Jian Ni, Sekhar Tatikonda