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» Stochastic Composite Likelihood
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175
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WSC
2001
15 years 5 months ago
Accounting for input model and parameter uncertainty in simulation
Taking into account input-model, input-parameter, and stochastic uncertainties inherent in many simulations, our Bayesian approach to input modeling yields valid point and confide...
Faker Zouaoui, James R. Wilson
177
Voted
IJCV
2008
201views more  IJCV 2008»
15 years 3 months ago
Probabilistic Fusion of Stereo with Color and Contrast for Bi-Layer Segmentation
This paper describes two algorithms for the real-time segmentation of foreground from background layers in stereo video sequences. Automatic separation of layers from colour/contr...
Vladimir Kolmogorov, Antonio Criminisi, Andrew Bla...
146
Voted
ICASSP
2008
IEEE
15 years 10 months ago
Modulation forensics for wireless digital communications
Modulation forensics is to detect the modulation type in wireless communications without any prior information. It nds both military and civilian applications such as surveillance...
W. Sabrina Lin, K. J. Ray Liu
104
Voted
ICMLA
2007
15 years 5 months ago
Machine learned regression for abductive DNA sequencing
We construct machine learned regressors to predict the behaviour of DNA sequencing data from the fluorescent labelled Sanger method. These predictions are used to assess hypothes...
David Thornley, Maxim Zverev, Stavros Petridis
120
Voted
CEC
2007
IEEE
15 years 10 months ago
N-gram fitness function with a constraint in a musical evolutionary system
—This paper describes an evolutionary music composition system that combines trainable music critics with a bag of notes constraint. Unlike many evolutionary composition systems,...
Man Yat Lo, Simon M. Lucas