Mutual information

Results: 1409



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1A framework for 3D object recognition using the kernel constrained mutual subspace method Kazuhiro Fukui1 , Bj¨orn Stenger2 , and Osamu Yamaguchi2 1 Graduate School of Systems and Information Engineering, University of

A framework for 3D object recognition using the kernel constrained mutual subspace method Kazuhiro Fukui1 , Bj¨orn Stenger2 , and Osamu Yamaguchi2 1 Graduate School of Systems and Information Engineering, University of

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Source URL: www.cvlab.cs.tsukuba.ac.jp

Language: English - Date: 2018-05-13 00:54:47
    2Compound Mutual Subspace Method for 3D object recognition: A theoretical extension of Mutual Subspace Method Naoki Akihiro, and Kazuhiro Fukui Graduate School of Systems and Information Engineering, University of Tsukuba

    Compound Mutual Subspace Method for 3D object recognition: A theoretical extension of Mutual Subspace Method Naoki Akihiro, and Kazuhiro Fukui Graduate School of Systems and Information Engineering, University of Tsukuba

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    Source URL: www.cvlab.cs.tsukuba.ac.jp

    Language: English - Date: 2018-05-13 00:54:47
      3Steamship Mutual Extranet Functionality Overview The following information provides an outline of the services and functions available from within the Extranet. User Registration / Login 

      Steamship Mutual Extranet Functionality Overview The following information provides an outline of the services and functions available from within the Extranet. User Registration / Login 

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      Source URL: www.steamshipmutual.com

      Language: English
        4On the Potential for Artificial Bandwidth Extension of Bone and Tissue Conducted Speech: A Mutual Information Study Rachel E. Bouserhal ? ?

        On the Potential for Artificial Bandwidth Extension of Bone and Tissue Conducted Speech: A Mutual Information Study Rachel E. Bouserhal ? ?

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        Source URL: musaelab.ca

        Language: English - Date: 2015-12-14 15:19:19
          52009 IEEE Information Theory Workshop Mutual Information and Posterior Estimates in Channels of Exponential Family Type Maxim Raginsky

          2009 IEEE Information Theory Workshop Mutual Information and Posterior Estimates in Channels of Exponential Family Type Maxim Raginsky

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          Source URL: maxim.ece.illinois.edu

          Language: English - Date: 2012-04-18 12:07:52
            6Mutual Information Saddle Points in Channels of Exponential Family Type Todd P. Coleman Maxim Raginsky

            Mutual Information Saddle Points in Channels of Exponential Family Type Todd P. Coleman Maxim Raginsky

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            Source URL: maxim.ece.illinois.edu

            Language: English - Date: 2012-04-18 12:07:49
              7Legal Notices INTRODUCTION The information provided below serves as notice of the terms and conditions regarding your use of the Georgia Farm Bureau Mutual Insurance Company web site. While visiting this site, you are de

              Legal Notices INTRODUCTION The information provided below serves as notice of the terms and conditions regarding your use of the Georgia Farm Bureau Mutual Insurance Company web site. While visiting this site, you are de

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              Source URL: www.gfbinsurance.com

              Language: English - Date: 2018-07-22 04:32:23
                8Mutual Influence Potential Networks: Enabling Information Sharing in Loosely-Coupled Extended-Duration Teamwork Ofra Amir, Barbara J. Grosz and Krzysztof Z. Gajos Harvard School of Engineering and Applied Sciences {oamir

                Mutual Influence Potential Networks: Enabling Information Sharing in Loosely-Coupled Extended-Duration Teamwork Ofra Amir, Barbara J. Grosz and Krzysztof Z. Gajos Harvard School of Engineering and Applied Sciences {oamir

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                Source URL: iis.seas.harvard.edu

                - Date: 2016-04-20 19:17:42
                  9Mutual Influence Potential Networks: Enabling Information Sharing in Loosely-Coupled Extended-Duration Teamwork Ofra Amir, Barbara J. Grosz and Krzysztof Z. Gajos Harvard School of Engineering and Applied Sciences {oamir

                  Mutual Influence Potential Networks: Enabling Information Sharing in Loosely-Coupled Extended-Duration Teamwork Ofra Amir, Barbara J. Grosz and Krzysztof Z. Gajos Harvard School of Engineering and Applied Sciences {oamir

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                  Source URL: www.eecs.harvard.edu

                  - Date: 2016-04-20 19:17:42
                    10Learning LBP Structure by Maximizing the Conditional Mutual Information Jianfeng Ren∗ BeingThere Centre, Institute for Media Innovation, Nanyang Technological University, 50 Nanyang Drive, Singapore.

                    Learning LBP Structure by Maximizing the Conditional Mutual Information Jianfeng Ren∗ BeingThere Centre, Institute for Media Innovation, Nanyang Technological University, 50 Nanyang Drive, Singapore.

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                    Source URL: eeeweba.ntu.edu.sg