Gaussian

Results: 2017



#Item
121

Local scale Polyphemus Training Session About Purpose: Local scale simulations: introduction to the use of Gaussian models with Polyphemus.

Add to Reading List

Source URL: cerea.enpc.fr

- Date: 2010-12-02 09:00:10
    122

    Despite the popularity and superior performance of Gaussian-kernel support vector machine (SVM), the two hyperparameters sigma (scale) and C (tradeoff) remain hard to be tuned. Many techniques have been developed to addr

    Add to Reading List

    Source URL: mmds-data.org

    - Date: 2016-06-23 15:50:48
      123

      MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Gaussian Conditional Random Field Network for Semantic Segmentation Vemulapalli, R.; Tuzel, C.O.; Liu, M.-Y.; Chellappa, R.

      Add to Reading List

      Source URL: www.merl.com

      - Date: 2016-08-01 11:52:51
        124

        Patch-based Object Recognition Using Discriminatively Trained Gaussian Mixtures Andre Hegerath, Thomas Deselaers, and Hermann Ney Human Language Technology and Pattern Recognition Group, RWTH Aachen University – D-5205

        Add to Reading List

        Source URL: thomas.deselaers.de

        - Date: 2014-10-11 09:29:37
          125

          Reservoir Modeling with GSLIB Gaussian Simulation for Porosity Modeling • •

          Add to Reading List

          Source URL: www.statios.com

          - Date: 2009-07-15 11:48:00
            126

            Learning to Control an Octopus Arm with Gaussian Process Temporal Difference Methods Yaakov Engel∗ AICML, Dept. of Computing Science University of Alberta

            Add to Reading List

            Source URL: papers.nips.cc

            - Date: 2014-04-23 14:31:55
              127

              JMLR: Workshop and Conference Proceedings vol 40:1–27, 2015 Efficient Sampling for Gaussian Graphical Models via Spectral Sparsification Dehua Cheng1 Yu Cheng1

              Add to Reading List

              Source URL: jmlr.org

              - Date: 2015-07-20 20:08:35
                128

                MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Deep Gaussian Conditional Random Field Network: A Model-based Deep Network for Discriminative Denoising Vemulapalli, R.; Tuzel, C.O.; Liu, M.-Y.

                Add to Reading List

                Source URL: www.merl.com

                - Date: 2016-08-18 16:46:39
                  129

                  A prior near-ignorance Gaussian Process model for nonparametric regression Francesca Mangili Istituto Dalle Molle di studi sull’Intelligenza Artificiale (IDSIA), Scuola universitaria professionale della Svizzera italia

                  Add to Reading List

                  Source URL: ipg.idsia.ch

                  - Date: 2016-07-18 04:25:32
                    130

                    Local scale Polyphemus Training Session About Purpose: Local scale simulations: introduction to the use of Gaussian models with Polyphemus.

                    Add to Reading List

                    Source URL: cerea.enpc.fr

                    - Date: 2011-02-18 05:16:04
                      UPDATE