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Science / Statistical models / Machine learning / Clutter / Latent variable / Sperner family / Segmentation / Supervised learning / Causality / Statistics / Mathematics / Image processing


research highlights doi:[removed][removed]Discriminative Learning with Latent Variables for Cluttered Indoor Scene Understanding
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Document Date: 2013-03-26 21:03:55

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File Size: 3,13 MB

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City

Grant No. / New York / /

Company

Neural Information Processing Systems / the Boeing / /

Country

United States / /

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Facility

Australian National University / Stanford University / /

IndustryTerm

energy function / fixed prior energy terms / degenerate solutions / inference algorithm / energy-based model / overall learning algorithm / prior energy / energy decreases / energy term / prior energy term / lowest energy / /

Organization

School of Computer Science / office of Naval Research / National Science Foundation / Stanford University / Australian National University / Computer Science Department / /

Person

Winn / Daphne Koller / Stephen Gould / Pixel / /

Position

J.D.J. / /

ProgrammingLanguage

C / /

ProvinceOrState

New York / /

PublishedMedium

Machine Learning / Lecture Notes in Computer Science / /

SportsLeague

Stanford University / /

Technology

overall learning algorithm / inference algorithm / 0.38 Algorithm / ICM algorithm / 0.38 0.36 Algorithm / Machine Learning / /

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