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CVPR
1999
IEEE
16 years 4 days ago
Vision-Based Speaker Detection Using Bayesian Networks
The development of user interfaces based on vision and speech requires the solution of a challenging statistical inference problem: The intentions and actions of multiple individu...
James M. Rehg, Kevin P. Murphy, Paul W. Fieguth
ICML
2007
IEEE
15 years 11 months ago
Parameter learning for relational Bayesian networks
We present a method for parameter learning in relational Bayesian networks (RBNs). Our approach consists of compiling the RBN model into a computation graph for the likelihood fun...
Manfred Jaeger
QSIC
2009
IEEE
15 years 4 months ago
A Bayesian Approach for the Detection of Code and Design Smells
The presence of code and design smells can have a severe impact on the quality of a program. Consequently, their detection and correction have drawn the attention of both research...
Foutse Khomh, Stéphane Vaucher, Yann-Ga&eum...
NIPS
2008
14 years 11 months ago
Analyzing human feature learning as nonparametric Bayesian inference
Almost all successful machine learning algorithms and cognitive models require powerful representations capturing the features that are relevant to a particular problem. We draw o...
Joseph Austerweil, Thomas L. Griffiths
ICASSP
2011
IEEE
14 years 1 months ago
Joint Bayesian removal of impulse and background noise
We present a method for the removal of noise including nonGaussian impulses from a signal. Impulse noise is removed jointly a homogenous Gaussian noise floor using a Gabor regres...
James Murphy, Simon J. Godsill