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Object-oriented programming / Unified Modeling Language / 3D computer graphics / Object composition / Constellation model / Dirichlet process / Rendering / Ada / Computer vision / Software engineering / Computing / Computer programming


Nonparametric Bayesian Models for Unsupervised Scene Analysis and Reconstruction Dominik Joho, Gian Diego Tipaldi, Nikolas Engelhard, Cyrill Stachniss, Wolfram Burgard Department of Computer Science, University of Freibu
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Document Date: 2012-08-20 05:33:12


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File Size: 1,63 MB

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City

Atlanta / Unsupervised Part / /

Company

Neural Information Processing Systems / Monte Carlo / Cambridge University Press / The star / /

Country

Jordan / United States / /

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Facility

University of Freiburg / /

IndustryTerm

detection systems / /

OperatingSystem

Fork / /

Organization

German Research Foundation / Cambridge University / Wolfram Burgard Department of Computer Science / American Statistical Association / University of Freiburg / /

Person

Nikolas Engelhard / Dominik Joho / Diego Tipaldi / /

Position

RT / fully probabilistic generative model for unsupervised scene analysis / Sparse Object Category Model for Efficient Learning and Exhaustive Recognition / 3D constellation model for representing indoor environments as object constellations / /

Product

Microsoft Kinect depth camera / Microsoft Kinect / /

PublishedMedium

Journal of the American Statistical Association / Machine Learning / /

Technology

Machine Learning / artificial intelligence / EM algorithm / /

SocialTag