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Learning to Model Spatial Dependency: Semi-Supervised Discriminative Random Fields Chi-Hoon Lee Department of Computing Science University of Alberta
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Document Date: 2007-06-19 18:08:48


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Company

MIT Press / DRF / /

Country

Canada / /

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Facility

Computing Science University / Cross Cancer Institute / University of Albeta / /

IndustryTerm

inference algorithm / medical imaging / magnetic resonance imaging / approximate energy minimization / sum-product algorithm / image processing tasks / semi-supervised learning algorithm / inference tool / /

Organization

University of Albeta / Russell Greiner Department / Royal Statistical Society / Alberta Ingenuity Centre for Machine Learning / Semi-Supervised Discriminative Random Fields Chi-Hoon Lee Department / Department of Computer Science / BTAP / MIT / Wright State University / Cross Cancer Institute / University of Waterloo / Department of Computing Science / University of Alberta / NSERC / /

Person

Yuri Boykov / Russell Greiner / O. Bousquet / Semi-Supervised Learning / D. Zhou / J. Weston / Dale Schuurmans / Semi-Supervised Discriminative Random Fields / T. Navin Lal / Ramin Zabih / J. Huang / B. Sch¨olkopf / Olga Veksler / /

Position

Model / /

Product

Jaccard / /

ProgrammingLanguage

ML / /

ProvinceOrState

Alberta / /

PublishedMedium

Machine Learning / /

Technology

radiation / sum-product algorithm / magnetic resonance imaging / inference algorithm / semi-supervised learning algorithm / classification EM algorithm / Machine Learning / gesture recognition / image processing / medical imaging / /

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