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Statistical models / Probability theory / Networks / Markov random field / Covariance matrix / Sparse matrix / Matrix / Multivariate normal distribution / Conjugate prior / Statistics / Bayesian statistics / Graphical models


1012 IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 58, NO. 3, MARCH 2010 Gaussian Multiresolution Models: Exploiting Sparse Markov and Covariance Structure
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Document Date: 2012-11-05 20:49:43

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File Size: 1,07 MB

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City

Montreal / /

Company

Shell International Exploration and Production Inc. / AMD / Samsung / /

Country

Canada / /

Currency

USD / /

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Facility

Massachusetts Institute of Technology / /

IndustryTerm

rapid solution / estimation algorithms / inference algorithm / oil and gas extraction industry / graphical model inference algorithms / possible solution / approximation algorithm / inference algorithms / image processing / graphical model estimation algorithms / large-scale signal processing applications / finance / linear systems / iterative algorithms / learning algorithm / /

MarketIndex

S&P 100 / /

Organization

Massachusetts Institute of Technology / Department of Electrical Engineering and Computer Science / Laboratory for Information and Decision Systems / /

Person

Alan S. Willsky / Mark J. Coates / /

Position

associate editor / graphical model / including within each scale / /

Product

Opteron 270 Dual Core Processor / Matlab 7.4.0 / /

ProvinceOrState

Quebec / /

PublishedMedium

Machine Learning / /

Technology

learning algorithm / graphical model inference algorithms / bioinformatics / inference algorithms / graphical model estimation algorithms / ET algorithm / inference algorithm / SIM approximation algorithm / Machine Learning / EM algorithm / image processing / Digital Object Identifier / Estimation algorithms / /

URL

www.osha.gov/pls/imis/sic_manual.html / http /

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