Networks

Results: 34855



#Item
991

Blockchain Building trust where there is none Hitesh Dharmdasani
 Informant Networks Bitcoin since 2012

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Source URL: mason.gmu.edu

- Date: 2017-03-21 12:18:51
    992

    PageRank for Ranking Authors in Co-citation Networks Ying Ding and Erjia Yan School of Library and Information Science, Indiana University, 1320 East 10th Street, Bloomington, INE-mail: {dingying, eyan}@ind

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    Source URL: faculty.cse.tamu.edu

    - Date: 2010-03-31 11:48:18
      993

      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
        994

        Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks SUPPLEMENTAL MATERIAL Yinda Zhang Shuran Song Ersin Yumer Manolis Savva Joon-Young Lee Hailin Jin Thomas Funkhouser Princeton

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        Source URL: robots.princeton.edu

        - Date: 2017-04-10 12:54:12
          995

          Sthira: A Formal Approach to Minimize Voltage Guardbands under Variation in Networks-on-Chip for Energy Efficiency Raghavendra Pradyumna Pothukuchi, Amin Ansari,∗ Bhargava Gopireddy, and Josep Torrellas ∗ Qualcomm Re

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          Source URL: iacoma.cs.uiuc.edu

          - Date: 2017-07-18 15:32:27
            996

              AS NETWORK UTILIZATION SKYROCKETS, BIG DATA ARCHITECTURE IS ESSENTIAL FOR EFFECTIVE VISIBILITY. Twenty-five years into the World Wide Web, networks have become

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            Source URL: www.kentik.com

            - Date: 2017-02-02 22:58:14
              997

              Learning to Track at 100 FPS with Deep Regression Networks David Held, Sebastian Thrun, Silvio Savarese Department of Computer Science Stanford University {davheld,thrun,ssilvio}@cs.stanford.edu

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              Source URL: davheld.github.io

              - Date: 2017-12-05 20:18:02
                998

                Learn Python2 Hitesh Dharmdasani Informant Networks Download Content
 


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                Source URL: mason.gmu.edu

                - Date: 2017-03-21 12:19:47
                  999

                  Installing and Running Caffe2 Caffe2 is a deep learning framework that supports both convolutional and recurrent networks Frameworks Dependencies Caffe2 requires protobuf, atlas, glog, gtest, limdb, leveldb, snappy, Open

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                  Source URL: www.cadnetwork.de

                  - Date: 2017-07-21 09:07:19
                    1000

                    ECI Expands Neptune Family with Compact Form Factor Tailored for Distributed Energy Resources Environment MPLS/Ethernet DIN-Rail switch provides exemplary solution for power utilities expanding their operational networks

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                    Source URL: br.ecitele.com

                    - Date: 2018-03-28 02:43:17
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