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CVPR
1999
IEEE
16 years 5 months 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
16 years 4 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 10 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
15 years 4 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 7 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