Efficient

Results: 18776



#Item
471

MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications arXiv:1704.04861v1 [cs.CV] 17 AprAndrew G. Howard

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Source URL: arxiv.org

- Date: 2017-04-17 20:27:23
    472

    Efficient CTL Verification via Horn Constraints Solving Tewodros A. Beyene 1 fortiss GmbH, Munich, Germany joint work with C. Popeea 2 and A. Rybalchenko 3

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    Source URL: hcvs2016.it.uu.se

    - Date: 2016-04-11 10:20:41
      473

      E ○ SRL Early Edition Software for Efficient Static Dislocation–

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      Source URL: earthsci.stanford.edu

      - Date: 2015-10-13 18:31:29
        474

        Efficient feed for parabolic antennas for 2

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        Source URL: www.qsl.net

        - Date: 2011-06-11 11:07:59
          475

          PRO7 HEADSET SYSTEM for team communications Try the new Quail Digital Pro7 Headset System for efficient and

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          Source URL: www.quaildigital.com

          - Date: 2017-04-12 06:03:15
            476

            Extending Map-Reduce for Efficient Predicate-Based Sampling Raman Grover 1

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            Source URL: asterix.ics.uci.edu

            - Date: 2016-09-16 22:05:09
              477

              YOUR MICROPAYMENT SOLUTION PARTNER The Stroem payment system offers instant and efficient micropayments through an open protocol. Emphasis has been put on consumer simplicity and

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              Source URL: www.strawpay.com

              - Date: 2017-09-03 11:37:42
                478

                Fast and Efficient Searches for Effective Optimization Phase Sequences PRASAD A. KULKARNI, STEPHEN R. HINES, and DAVID B. WHALLEY Florida State University JASON D. HISER and JACK W. DAVIDSON University of Virginia

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                Source URL: www.cs.fsu.edu

                - Date: 2016-05-22 07:01:39
                  479

                  Shipping and Global Trade Towards an EU external shipping policy Shipping needs global trade to exist and global trade cannot exist without an efficient shipping industry. Today,

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                  Source URL: www.ecsa.eu

                  - Date: 2017-06-28 11:23:00
                    480

                    Efficient Grasping from RGBD Images: Learning using a new Rectangle Representation Yun Jiang, Stephen Moseson, and Ashutosh Saxena Abstract— Given an image and an aligned depth map of an object, our goal is to estimate

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                    Source URL: pr.cs.cornell.edu

                    - Date: 2011-06-22 18:43:14
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