Mixture model

Results: 969



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1Newton Method for the ICA Mixture Model

Newton Method for the ICA Mixture Model

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Source URL: dsp.ucsd.edu

Language: English - Date: 2018-07-20 21:26:32
    2Semi-Supervised Learning with the Deep Rendering Mixture Model Tan Nguyen1,2 Wanjia Liu1 Ethan Perez1 Richard G. Baraniuk1

    Semi-Supervised Learning with the Deep Rendering Mixture Model Tan Nguyen1,2 Wanjia Liu1 Ethan Perez1 Richard G. Baraniuk1

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    Source URL: ankitbpatel715.files.wordpress.com

    Language: English - Date: 2016-12-06 13:43:44
      3BUDVYTIS ET AL.: MOT FOR VIDEO SEGMENTATION  1 MoT - Mixture of Trees Probabilistic Graphical Model for Video Segmentation

      BUDVYTIS ET AL.: MOT FOR VIDEO SEGMENTATION 1 MoT - Mixture of Trees Probabilistic Graphical Model for Video Segmentation

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      Source URL: mi.eng.cam.ac.uk

      Language: English - Date: 2018-03-13 12:51:01
        4Vol. 18 noPages 1194–1206 BIOINFORMATICS  Bayesian infinite mixture model based clustering

        Vol. 18 noPages 1194–1206 BIOINFORMATICS Bayesian infinite mixture model based clustering

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        Source URL: eh3.uc.edu

        Language: English - Date: 2008-06-13 20:29:56
          5Research © 2011 by The American Society for Biochemistry and Molecular Biology, Inc. This paper is available on line at http://www.mcponline.org A Bayesian Mixture Model for Comparative Spectral Count Data in Shotgun Pr

          Research © 2011 by The American Society for Biochemistry and Molecular Biology, Inc. This paper is available on line at http://www.mcponline.org A Bayesian Mixture Model for Comparative Spectral Count Data in Shotgun Pr

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          Source URL: yulab.icmb.cornell.edu

          Language: English - Date: 2013-04-18 14:19:02
            6Muscle Categorization using Quantitative Needle Electromyography A 2-Stage Gaussian Mixture Model based Approach Meena AbdelMaseeh∗ , Pascal Poupart† , Benn Smith‡ and Daniel Stashuk∗  ∗ Syst

            Muscle Categorization using Quantitative Needle Electromyography A 2-Stage Gaussian Mixture Model based Approach Meena AbdelMaseeh∗ , Pascal Poupart† , Benn Smith‡ and Daniel Stashuk∗ ∗ Syst

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            Source URL: cs.uwaterloo.ca

            Language: English - Date: 2012-11-17 11:23:58
              7WEYAND, DESELAERS, NEY: LOG-LINEAR MIXTURES  1 Log-Linear Mixtures for Object Class Recognition

              WEYAND, DESELAERS, NEY: LOG-LINEAR MIXTURES 1 Log-Linear Mixtures for Object Class Recognition

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              Source URL: thomas.deselaers.de

              Language: English - Date: 2014-10-11 09:29:39
              8Gaussian sampling by local perturbations  George Papandreou Department of Statistics University of California, Los Angeles

              Gaussian sampling by local perturbations George Papandreou Department of Statistics University of California, Los Angeles

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              Source URL: www.stat.ucla.edu

              Language: English - Date: 2010-10-31 18:18:15
              9Learning stick-figure models using nonparametric Bayesian priors over trees Edward W. Meeds, David A. Ross, Richard S. Zemel, and Sam T. Roweis Department of Computer Science University of Toronto {ewm, dross, zemel, row

              Learning stick-figure models using nonparametric Bayesian priors over trees Edward W. Meeds, David A. Ross, Richard S. Zemel, and Sam T. Roweis Department of Computer Science University of Toronto {ewm, dross, zemel, row

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              Source URL: www.cs.toronto.edu

              Language: English - Date: 2008-08-08 22:07:31
              10EFFICIENT INITIALIZATION OF MIXTURES OF EXPERTS FOR HUMAN POSE ESTIMATION Huazhong Ning, Yuxiao Hu, Thomas Huang ECE Department, U. of Illinois at Urbana-Champaign, Urbana, IL 61801. {hning2,hu3, huang}@ifp.uiuc.edu  ABS

              EFFICIENT INITIALIZATION OF MIXTURES OF EXPERTS FOR HUMAN POSE ESTIMATION Huazhong Ning, Yuxiao Hu, Thomas Huang ECE Department, U. of Illinois at Urbana-Champaign, Urbana, IL 61801. {hning2,hu3, huang}@ifp.uiuc.edu ABS

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              Source URL: www.ifp.illinois.edu

              Language: English - Date: 2008-01-22 16:26:01