Networks

Results: 34855



#Item
971

Hyperledger Composer Overview Hyperledger Composer is a set of collaboration tools for building blockchain business networks that make it simple and fast for business owners and developers to create smart contracts and

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Source URL: www.hyperledger.org

- Date: 2017-07-28 15:31:55
    972

    Training Deep Networks for Facial Expression Recognition with Crowd-Sourced Label Distribution Emad Barsoum, Cha Zhang, Cristian Canton Ferrer and Zhengyou Zhang Microsoft Research One Microsoft Way, Redmond, WA 98052

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    Source URL: arxiv.org

    - Date: 2016-09-26 23:00:58
      973

      A Full Bandwidth Audio Codec with Low Complexity and Very Low Delay Jean-Marc Valin, Octasic Inc. Timothy B. Terriberry, Xiph.Org Foundation Gregory Maxwell, Juniper Networks Inc. EUSIPCO 2009

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      Source URL: jmvalin.ca

      - Date: 2016-10-08 14:46:28
        974

        Conditional Similarity Networks Andreas Veit1 Serge Belongie1 Theofanis Karaletsos2,3 {av443, sjb344}@cornell.edu, 1 Department of Computer Science & Cornell Tech, Cornell University 2

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        Source URL: vision.cornell.edu

        - Date: 2017-04-10 11:20:02
          975

          OptNet: Differentiable Optimization as a Layer in Neural Networks

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          Source URL: proceedings.mlr.press

          - Date: 2018-02-06 15:06:57
            976

            XRP for Exchanges Ripple is a payments network built on blockchain that provides one, frictionless experience to send money globally. Unlike existing siloed networks, Ripple powers payments across networks with unmatched

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            Source URL: ripple.com

            - Date: 2018-03-22 16:13:51
              977

              Identifying Fashion Accounts in Social Networks Doris Jung-Lin Lee, Jinda Han, Dana Chambourova, Ranjitha Kumar Department of Computer Science University of Illinois, Urbana-Champaign jlee782,jhan51,dchambourova,ranjitha

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              Source URL: kddfashion2017.mybluemix.net

              - Date: 2017-08-04 06:39:40
                978

                Enablers and Inhibitors of Engagement in Enterprise Social Networks from the Viewpoint of Executives – A Case Study in a Technology Company Janine Hacker1, Natalie Florian1, and Freimut Bodendorf1 1

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                Source URL: mkwi2018.leuphana.de

                - Date: 2018-03-08 04:34:48
                  979

                  Single Page Back Single Page Front Micro Electronics International (Pvt) Ltd. Smart Tactical Communication, Efficient Networks, Energy & Security Solutions

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                  Source URL: mei.com.pk

                  - Date: 2016-12-21 11:06:56
                    980

                    Matching Networks for One Shot Learning arXiv:1606.04080v1 [cs.LG] 13 Jun 2016 Oriol Vinyals Google DeepMind

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                    Source URL: arxiv.org

                    - Date: 2016-06-13 20:46:42
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