Variational analysis

Results: 185



#Item
311  An isoperimetric inequality for self-intersecting polygons Alan Siegel1 C OURANT I NSTITUTE OF MATHEMATICAL S CIENCES N EW YORK U NIVERSITY

1 An isoperimetric inequality for self-intersecting polygons Alan Siegel1 C OURANT I NSTITUTE OF MATHEMATICAL S CIENCES N EW YORK U NIVERSITY

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Source URL: www.cs.nyu.edu

Language: English - Date: 2001-09-01 12:22:24
32JOINT ASSOCIATION DISCOVERY AND DIAGNOSIS OF ALZHEIMER’S DISEASE BY SUPERVISED HETEROGENEOUS MULTIVIEW LEARNING SHANDIAN ZHE1 , ZENGLIN XU1 , YUAN QI1,2 , PENG YU3 , FOR THE ADNI∗ 1

JOINT ASSOCIATION DISCOVERY AND DIAGNOSIS OF ALZHEIMER’S DISEASE BY SUPERVISED HETEROGENEOUS MULTIVIEW LEARNING SHANDIAN ZHE1 , ZENGLIN XU1 , YUAN QI1,2 , PENG YU3 , FOR THE ADNI∗ 1

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Source URL: psb.stanford.edu

Language: English - Date: 2015-08-18 15:12:41
33Image Prior Combination In Super-Resolution Image Reconstruction

Image Prior Combination In Super-Resolution Image Reconstruction

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Source URL: decsai.ugr.es

Language: English - Date: 2010-09-02 04:27:14
34Selfish routing in the presence of side constraints George Karakostas? and Stavros G. Kolliopoulos?? Department of Computing and Software, McMaster University, Hamilton, Ontario, L8S 4K1, Canada  Abstract. The natural ap

Selfish routing in the presence of side constraints George Karakostas? and Stavros G. Kolliopoulos?? Department of Computing and Software, McMaster University, Hamilton, Ontario, L8S 4K1, Canada Abstract. The natural ap

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Source URL: www.cas.mcmaster.ca

Language: English - Date: 2004-06-26 19:13:24
35Total Variation Super Resolution Using A Variational Approach

Total Variation Super Resolution Using A Variational Approach

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Source URL: decsai.ugr.es

Language: English - Date: 2008-11-01 16:01:32
36Bayesian Blind Deconvolution from Differently Exposed Image Pairs

Bayesian Blind Deconvolution from Differently Exposed Image Pairs

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Source URL: decsai.ugr.es

Language: English - Date: 2009-11-13 06:32:14
37Supplementary Material to: Clustered factor analysis of multineuronal spike data Here we provide details of the variational inference method for the mixPLDS model. To this end, we first discuss variational inference for

Supplementary Material to: Clustered factor analysis of multineuronal spike data Here we provide details of the variational inference method for the mixPLDS model. To this end, we first discuss variational inference for

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Source URL: stat.columbia.edu

Language: English - Date: 2015-01-05 12:09:53
    38Smoothed Gradients for Stochastic Variational Inference David Blei Department of Computer Science Department of Statistics Columbia University

    Smoothed Gradients for Stochastic Variational Inference David Blei Department of Computer Science Department of Statistics Columbia University

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    Source URL: papers.nips.cc

    Language: English - Date: 2014-12-02 20:45:02
    39Incremental Learning of Nonparametric Bayesian Mixture Models Ryan Gomes∗ Max Welling†  ∗

    Incremental Learning of Nonparametric Bayesian Mixture Models Ryan Gomes∗ Max Welling† ∗

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    Source URL: www.ics.uci.edu

    Language: English - Date: 2008-04-09 01:39:03
    40Bayesian Hierarchical Clustering  Katherine A. Heller Zoubin Ghahramani Gatsby Computational Neuroscience Unit, University College London 17 Queen Square, London, WC1N 3AR, UK

    Bayesian Hierarchical Clustering Katherine A. Heller Zoubin Ghahramani Gatsby Computational Neuroscience Unit, University College London 17 Queen Square, London, WC1N 3AR, UK

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    Source URL: www.gatsby.ucl.ac.uk

    Language: English - Date: 2007-01-29 12:58:00