Joon

Results: 182



#Item
1Towards Reverse-Engineering Black-Box Neural Networks Seong Joon Oh Max Augustin  Bernt Schiele

Towards Reverse-Engineering Black-Box Neural Networks Seong Joon Oh Max Augustin Bernt Schiele

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Source URL: vision.soic.indiana.edu

Language: English - Date: 2018-02-23 06:31:16
    2RISA: Distributed Road Information Sharing Architecture Joon Ahn† , Yi Wang† , Bo Yu] , Fan Bai‡ , Bhaskar Krishnamachari† † University of Southern California, Los Angeles, CA, USA ] Wipro Technologies, Rochest

    RISA: Distributed Road Information Sharing Architecture Joon Ahn† , Yi Wang† , Bo Yu] , Fan Bai‡ , Bhaskar Krishnamachari† † University of Southern California, Los Angeles, CA, USA ] Wipro Technologies, Rochest

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    Source URL: anrg.usc.edu

    Language: English - Date: 2013-07-23 10:54:04
      31  Radiometric Calibration by Rank Minimization Joon-Young Lee, Student Member, IEEE, Yasuyuki Matsushita, Senior Member, IEEE, Boxin Shi, In So Kweon, Member, IEEE, and Katsushi Ikeuchi, Fellow, IEEE Abstract—We prese

      1 Radiometric Calibration by Rank Minimization Joon-Young Lee, Student Member, IEEE, Yasuyuki Matsushita, Senior Member, IEEE, Boxin Shi, In So Kweon, Member, IEEE, and Katsushi Ikeuchi, Fellow, IEEE Abstract—We prese

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      Source URL: www-infobiz.ist.osaka-u.ac.jp

      Language: English - Date: 2012-02-23 04:22:18
        4Global Exponential Stability of FAST TCP Joon-Young Choi, Kyungmo Koo, David X. Wei, Jin S. Lee, and Steven H. Low Abstract— We consider a single-link multi-source network with the FAST TCP sources. We propose a contin

        Global Exponential Stability of FAST TCP Joon-Young Choi, Kyungmo Koo, David X. Wei, Jin S. Lee, and Steven H. Low Abstract— We consider a single-link multi-source network with the FAST TCP sources. We propose a contin

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        Source URL: netlab.caltech.edu

        Language: English - Date: 2007-09-07 16:57:21
          5MODELLING AND STABILITY OF FAST TCP∗ JIANTAO WANG† , DAVID X. WEI† , JOON-YOUNG CHOI‡ , AND STEVEN H. LOW† Abstract. We discuss the modelling of FAST TCP and prove four stability results. Using the traditional

          MODELLING AND STABILITY OF FAST TCP∗ JIANTAO WANG† , DAVID X. WEI† , JOON-YOUNG CHOI‡ , AND STEVEN H. LOW† Abstract. We discuss the modelling of FAST TCP and prove four stability results. Using the traditional

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          Source URL: netlab.caltech.edu

          Language: English - Date: 2006-07-15 20:10:50
            62016 IEEE Symposium on Security and Privacy  SoK: Everyone Hates Robocalls: A Survey of Techniques against Telephone Spam Huahong Tu, Adam Doupé, Ziming Zhao, and Gail-Joon Ahn Arizona State University {tu, doupe, zzhao

            2016 IEEE Symposium on Security and Privacy SoK: Everyone Hates Robocalls: A Survey of Techniques against Telephone Spam Huahong Tu, Adam Doupé, Ziming Zhao, and Gail-Joon Ahn Arizona State University {tu, doupe, zzhao

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            Source URL: oaklandsok.github.io

            Language: English - Date: 2018-03-14 15:33:55
              7Fundamental Scaling Laws for Energy-Efficient Storage and Querying in Wireless Sensor Networks Joon Ahn and Bhaskar Krishnamachari Department of Electrical Engineering University of Southern California Los Angeles, Calif

              Fundamental Scaling Laws for Energy-Efficient Storage and Querying in Wireless Sensor Networks Joon Ahn and Bhaskar Krishnamachari Department of Electrical Engineering University of Southern California Los Angeles, Calif

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              Source URL: ceng.usc.edu

              Language: English - Date: 2006-04-21 06:08:43
                8Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks Yinda Zhang†∗ Shuran Song†∗ Ersin Yumer‡ Manolis Savva† Joon-Young Lee‡ Hailin Jin‡ Thomas Funkhouser† †

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

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                Source URL: robots.princeton.edu

                - Date: 2017-04-10 13:55:43
                  9Physically-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

                  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
                    10Jupiter Rising: A Decade of Clos Topologies and Centralized Control in Google’s Datacenter Network Arjun Singh, Joon Ong, Amit Agarwal, Glen Anderson, Ashby Armistead, Roy Bannon, Seb Boving, Gaurav Desai, Bob Felderma

                    Jupiter Rising: A Decade of Clos Topologies and Centralized Control in Google’s Datacenter Network Arjun Singh, Joon Ong, Amit Agarwal, Glen Anderson, Ashby Armistead, Roy Bannon, Seb Boving, Gaurav Desai, Bob Felderma

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                    Source URL: rule11.tech

                    - Date: 2017-03-01 23:55:24