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Artificial intelligence / Probability theory / Networks / Theoretical computer science / Markov chain / Markov random field / Gibbs sampling / Estimation theory / Maximum a posteriori estimation / Statistics / Markov models / Probability and statistics


IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 1 Unsupervised Classification of Radar Images Using Hidden Markov Chains and Hidden
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Document Date: 2011-02-11 06:14:50


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City

Oslo / /

Country

Norway / /

Currency

USD / /

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IndustryTerm

chain algorithm / local energy / automatic analysis tools / statistical image processing / optical satellite image / random field algorithms / local energy function / energy / /

OperatingSystem

Linux / /

Organization

Ecole Nouvelle d’Ingénieurs / Norwegian Computing Center / Ecole Nationale Superieure / Institut National / /

Person

Wojciech Pieczynski / Marc Sigelle / Pixel / Yves Delignon / /

Position

representative for each class / numerically stable forward / original forward / representative / Forward / so-called forward / /

Technology

C. Generalized Mixture Estimation The ICE algorithm / 733-MHz processor / K-means algorithm / REMOTE SENSING / random field algorithms / A. Hidden Markov Random Fields The ICE algorithm / ICE algorithm / Linux / above ICE algorithms / Markov chain algorithm / MPM algorithms / image processing / Digital Object Identifier / Markov random field algorithms / Metropolis algorithm / /

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