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ICMCS
2008
IEEE
207views Multimedia» more  ICMCS 2008»
15 years 10 months ago
Structure learning in a Bayesian network-based video indexing framework
Several stochastic models provide an effective framework to identify the temporal structure of audiovisual data. Most of them need as input a first video structure, i.e. connecti...
Siwar Baghdadi, Guillaume Gravier, Claire-Hé...
ISCC
2006
IEEE
103views Communications» more  ISCC 2006»
15 years 10 months ago
Mobile Location in GSM Networks using Database Correlation with Bayesian Estimation
We present a database correlation method combined with Bayesian estimation for mobile location in GSM networks. The final location request can be estimated using different ways. T...
Mohamed Khalaf-Allah, Kyandoghere Kyamakya
NIPS
2008
15 years 5 months ago
Hebbian Learning of Bayes Optimal Decisions
Uncertainty is omnipresent when we perceive or interact with our environment, and the Bayesian framework provides computational methods for dealing with it. Mathematical models fo...
Bernhard Nessler, Michael Pfeiffer, Wolfgang Maass
153
Voted
ICASSP
2011
IEEE
14 years 7 months ago
Bayesian topic models for describing computer network behaviors
We consider the use of Bayesian topic models in the analysis of computer network traffic. Our approach utilizes latent Dirichlet allocation and time-varying dynamic latent Dirich...
Christopher Cramer, Lawrence Carin
UAI
2000
15 years 5 months ago
Being Bayesian about Network Structure
In many domains, we are interested in analyzing the structure of the underlying distribution, e.g., whether one variable is a direct parent of the other. Bayesian model selection a...
Nir Friedman, Daphne Koller