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88
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ICIP
2005
IEEE
15 years 6 months ago
Bayesian blind source separation for brain imaging
This paper deals with the problem of blind source separation in fMRI data analysis. Our main contribution is to present a maximum likelihood based method to blindly separate the b...
Hicham Snoussi, Vince D. Calhoun
84
Voted
CORR
2010
Springer
135views Education» more  CORR 2010»
15 years 20 days ago
Optimal Design of a Molecular Recognizer: Molecular Recognition as a Bayesian Signal Detection Problem
Numerous biological functions--such as enzymatic catalysis, the immune response system, and the DNA-protein regulatory network--rely on the ability of molecules to specifically rec...
Yonatan Savir, Tsvi Tlusty
PROMISE
2010
14 years 7 months ago
Defect cost flow model: a Bayesian network for predicting defect correction effort
Background. Software defect prediction has been one of the central topics of software engineering. Predicted defect counts have been used mainly to assess software quality and est...
Thomas Schulz, Lukasz Radlinski, Thomas Gorges, Wo...
84
Voted
IBPRIA
2003
Springer
15 years 5 months ago
Bayesian Image Estimation from an Incomplete Set of Blurred, Undersampled Low Resolution Images
Abstract. This paper deals with the problem of reconstructing a highresolution image from an incomplete set of undersampled, blurred and noisy images shifted with subpixel displace...
Javier Mateos, Miguel Vega, Rafael Molina, Aggelos...
75
Voted
EOR
2006
97views more  EOR 2006»
15 years 17 days ago
Bayesian portfolio selection with multi-variate random variance models
We consider multi-period portfolio selection problems for a decision maker with a specified utility function when the variance of security returns is described by a discrete time ...
Refik Soyer, Kadir Tanyeri