Darrell

Results: 1368



#Item
21Avoiding the “Streetlight Effect”: Tracking by Exploring Likelihood Modes David Demirdjian, Leonid Taycher, Gregory Shakhnarovich, Kristen Grauman, and Trevor Darrell Computer Science and Artificial Intelligence Labo

Avoiding the “Streetlight Effect”: Tracking by Exploring Likelihood Modes David Demirdjian, Leonid Taycher, Gregory Shakhnarovich, Kristen Grauman, and Trevor Darrell Computer Science and Artificial Intelligence Labo

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Source URL: groups.csail.mit.edu

- Date: 2005-07-25 14:31:24
    22Adapting Visual Category Models to New Domains Kate Saenko, Brian Kulis, Mario Fritz, and Trevor Darrell UC Berkeley EECS and ICSI, Berkeley, CA {saenko,kulis,mfritz,trevor}@eecs.berkeley.edu

    Adapting Visual Category Models to New Domains Kate Saenko, Brian Kulis, Mario Fritz, and Trevor Darrell UC Berkeley EECS and ICSI, Berkeley, CA {saenko,kulis,mfritz,trevor}@eecs.berkeley.edu

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    Source URL: pdfs.semanticscholar.org

    - Date: 2015-07-28 19:10:15
      23End-to-End Training of Deep Visuomotor Policies Sergey Levine* , Chelsea Finn* , Trevor Darrell, Pieter Abbeel Abstract—Policy search methods can allow robots to automatically learn control policies for a wide range of

      End-to-End Training of Deep Visuomotor Policies Sergey Levine* , Chelsea Finn* , Trevor Darrell, Pieter Abbeel Abstract—Policy search methods can allow robots to automatically learn control policies for a wide range of

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      Source URL: rll.berkeley.edu

      - Date: 2015-06-18 21:24:45
        24DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition arXiv:1310.1531v1 [cs.CV] 6 OctJeff Donahue∗ , Yangqing Jia∗ , Oriol Vinyals, Judy Hoffman, Ning Zhang, Eric Tzeng, Trevor Darrell

        DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition arXiv:1310.1531v1 [cs.CV] 6 OctJeff Donahue∗ , Yangqing Jia∗ , Oriol Vinyals, Judy Hoffman, Ning Zhang, Eric Tzeng, Trevor Darrell

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        Source URL: arxiv.org

        - Date: 2013-10-07 20:25:05
          25Caffe: Convolutional Architecture for Fast Feature Embedding∗ Yangqing Jia∗ , Evan Shelhamer∗ , Jeff Donahue, Sergey Karayev, Jonathan Long, Ross Girshick, Sergio Guadarrama, Trevor Darrell UC Berkeley EECS, Berkel

          Caffe: Convolutional Architecture for Fast Feature Embedding∗ Yangqing Jia∗ , Evan Shelhamer∗ , Jeff Donahue, Sergey Karayev, Jonathan Long, Ross Girshick, Sergio Guadarrama, Trevor Darrell UC Berkeley EECS, Berkel

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          Source URL: arxiv.org

          - Date: 2014-08-21 20:13:43
            26RAOR Forum November 19, 2014 Stacey Wade, OSP Guest Speaker: Darrell Arrington, ORNL Topic: UT-Battelle Proposal Processing

            RAOR Forum November 19, 2014 Stacey Wade, OSP Guest Speaker: Darrell Arrington, ORNL Topic: UT-Battelle Proposal Processing

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            Source URL: spa.utdev4.wpengine.com

            - Date: 2015-09-10 10:30:59
              27Forthcoming in Studies in History and Philosophy of Science Scientific Progress Without Increasing Verisimilitude: In Response to Niiniluoto Darrell P. Rowbottom Lingnan University

              Forthcoming in Studies in History and Philosophy of Science Scientific Progress Without Increasing Verisimilitude: In Response to Niiniluoto Darrell P. Rowbottom Lingnan University

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              Source URL: www.ln.edu.hk

              - Date: 2015-11-17 00:56:24
                28RESOLUTIONWHEREAS, Donnie Darrell Holt was a dedicated and faithful servant for the City of Bloomfield serving as a Councilman on the Bloomfield City Council. WHEREAS, Donnie Holt was very personable with every

                RESOLUTIONWHEREAS, Donnie Darrell Holt was a dedicated and faithful servant for the City of Bloomfield serving as a Councilman on the Bloomfield City Council. WHEREAS, Donnie Holt was very personable with every

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                Source URL: www.bloomfieldky.com

                - Date: 2013-08-23 16:23:00
                  29Cheating the I/O Bottleneck: Network Storage with Trapeze/Myrinet Darrell C. Anderson, Jeffrey S. Chase, Syam Gadde, Andrew J. Gallatin, and Kenneth G. Yocum Department of Computer Science Duke University fanderson, cha

                  Cheating the I/O Bottleneck: Network Storage with Trapeze/Myrinet Darrell C. Anderson, Jeffrey S. Chase, Syam Gadde, Andrew J. Gallatin, and Kenneth G. Yocum Department of Computer Science Duke University fanderson, cha

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                  Source URL: www.cs.duke.edu

                  - Date: 1998-05-02 17:49:45
                    30Network I/O with Trapeze Jeffrey S. Chase, Darrell C. Anderson, Andrew J. Gallatin, Alvin R. Lebeck, and Kenneth G. Yocum Department of Computer Science Duke University fchase, anderson, gallatin, alvy, .e

                    Network I/O with Trapeze Jeffrey S. Chase, Darrell C. Anderson, Andrew J. Gallatin, Alvin R. Lebeck, and Kenneth G. Yocum Department of Computer Science Duke University fchase, anderson, gallatin, alvy, .e

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                    Source URL: www.cs.duke.edu

                    - Date: 1999-05-12 11:34:38