Deep learning

Results: 859



#Item
51

Deep Learning Based Hand Detection in Cluttered Environment Using Skin Segmentation Kankana Roy1 , Aparna Mohanty2 , and Rajiv R. Sahay2 Computational Vision Laboratory, 1 Department of Computer Science and Engineering,

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Source URL: openaccess.thecvf.com

Language: English - Date: 2017-10-20 15:41:08
    52

    www.regionalscience.org/2018worldcongress Special Session (SS05) on: Spatial Analysis: From Neural Computing to Deep Learning Organisers: Yee Leung – Chinese University of Hong Kong. E-mail: (Chair

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    Source URL: www.regionalscience.org

    Language: English - Date: 2017-08-31 05:36:48
      53

      Deep Learning for Big Code 2018 Seminar

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      Source URL: www.sri.inf.ethz.ch

      Language: English - Date: 2018-05-15 09:27:11
        54

        Concrete Problems for Autonomous Vehicle Safety: Advantages of Bayesian Deep Learning

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

        Language: English - Date: 2018-03-13 12:51:17
          55

          Deep Learning with H2O Arno Candel Erin LeDell

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          Source URL: docs.h2o.ai

          Language: English - Date: 2018-08-08 21:06:28
            56

            13th International Society for Music Information Retrieval Conference (ISMIRMOVING BEYOND FEATURE DESIGN: DEEP ARCHITECTURES AND AUTOMATIC FEATURE LEARNING IN MUSIC INFORMATICS Eric J. Humphrey, Juan Pablo Bello

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            Source URL: yann.lecun.com

            Language: English - Date: 2013-03-15 09:57:20
              57

              CALL FOR PAPERS The 4 Asian Conference on Pattern Recognition (ACPRWorkshop on Visual Image Understanding with Deep Learning th Summary

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              Source URL: acpr2017.njust.edu.cn

              Language: English - Date: 2017-07-04 03:53:44
                58

                Bayesian Semi-supervised Learning with Deep Generative Models Jonathan Gordon Department of Engineering Cambridge University

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                Source URL: bayesiandeeplearning.org

                Language: English - Date: 2017-12-05 15:01:10
                  59Neuroscience / Artificial intelligence / Machine learning / Machine learning algorithms / Computational neuroscience / Artificial neural networks / Q-learning / Reinforcement learning / University of Cape Town / Monte Carlo tree search / Sepp Hochreiter / Convolutional neural network

                  Deep Learning for Reward Design to Improve Monte Carlo Tree Search in ATARI Games Xiaoxiao Guo, Satinder Singh, Richard Lewis, Honglak Lee University of Michigan, Ann Arbor {guoxiao,baveja,rickl,honglak}@umich.edu

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                  Source URL: web.eecs.umich.edu

                  Language: English - Date: 2016-04-22 16:33:09
                  60

                  Tobias Peter Using Deep Learning as a surrogate model in Multi-objective Evolutionary Algorithms

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                  Source URL: www.is.ovgu.de

                  Language: English - Date: 2018-05-14 07:33:11
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