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Regression analysis / Statistical theory / Bayesian statistics / Expectation–maximization algorithm / Maximum likelihood / Least squares / Likelihood function / Robust optimization / Linear least squares / Statistics / Estimation theory / Mathematical optimization


SYSTEM PARAMETER ESTIMATION IN TOMOGRAPHIC INVERSE PROBLEMS A.ALESSIO AND K.SAUER Department of Electrical Engineering
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Document Date: 2005-11-10 13:24:10


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City

Washington / D.C. / Providence / Minneapolis / Austin / /

Company

Monte Carlo / /

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Facility

Electrical Engineering University of Notre Dame Notre Dame / /

IndustryTerm

technique to other systems / scanner applications / bank / closed form solution / maximum likelihood solution / estimation algorithm / tomographic systems / non-destructive testing applications / expectation-maximization algorithm / /

Organization

SYSTEM PARAMETER ESTIMATION IN TOMOGRAPHIC INVERSE PROBLEMS A.ALESSIO AND K.SAUER Department / Electrical Engineering University / University of Notre Dame / Institut Francais de Petrol / Pattern Analysis and Machine Intelligence / /

Person

Gibbsian / Ai / /

ProvinceOrState

Minnesota / Alabama / Rhode Island / Indiana / /

Technology

Estimation Description EM ALGORITHM / Gif / X-ray / Implementation OVERVIEW This algorithm / Tomography / expectation-maximization algorithm / Conclusion The EM algorithm / EM algorithm / Image Processing / two algorithms / EM-type algorithms / estimation algorithm / /

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