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261

Conditional Random Sampling: A Sketch-based Sampling Technique for Sparse Data Ping Li Department of Statistics Stanford University Stanford, CA 94305

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Source URL: papers.nips.cc

- Date: 2014-04-23 14:27:33
    262

    Calibration of conditional composite likelihood for Bayesian inference on Gibbs random fields Julien Stoehr Institut de Math´ematiques et de Mod´elisation de Montpellier,

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    Source URL: jmlr.org

    - Date: 2016-05-01 21:17:12
      263

      Neural networks Conditional random fields - linear chain CRF • •

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      Source URL: dl.dropboxusercontent.com

        264

        Gaussian Conditional Random Field Network for Semantic Segmentation Raviteja Vemulapalli† , Oncel Tuzel* , Ming-Yu Liu* , and Rama Chellappa† † Center for Automation Research, UMIACS, University of Maryland, Colleg

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        Source URL: ravitejav.weebly.com

        - Date: 2016-04-04 22:27:33
          265

          LEGAL NOTICE The civil aviation authorities of Member States of the European Union are only able to inspect aircraft of airlines that operate flights to and from Union airports; and in view of the random natur

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          Source URL: ec.europa.eu

          - Date: 2016-12-08 05:56:10
            266

            Multiscale Conditional Random Fields for Image Labeling ´ Carreira-Perpi˜na´ n Xuming He Richard S. Zemel Miguel A. Department of Computer Science, University of Toronto

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            Source URL: www.cs.toronto.edu

            - Date: 2004-04-22 22:21:09
              267

              Random Projections, Graph Sparsification, and Differential Privacy Jalaj Upadhyay Center for Applied Cryptographic Research University of Waterloo

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              Source URL: www.iacr.org

              - Date: 2013-12-03 23:28:30
                268

                Learning Robot Grasping from 3-D Images with Markov Random Fields Abdeslam Boularias, Oliver Kroemer, Jan Peters Abstract— Learning to grasp novel objects is an essential skill for robots operating in unstructured envi

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                Source URL: www.ias.informatik.tu-darmstadt.de

                - Date: 2012-02-21 11:46:26
                  269

                  A simple model of global cascades on random networks Duncan J. Watts* Department of Sociology, Columbia University New York, NYCommunicated by Murray Gell-Mann, Santa Fe Institute, Santa Fe, NM, February 14, 2002

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                  Source URL: www.pnas.org

                  - Date: 2011-03-30 06:14:42
                    270

                    Neural networks Conditional random fields - factor graph K (L+1) K (y,

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                    Source URL: dl.dropboxusercontent.com

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