Similarity

Results: 2413



#Item
111Efficient Parallel Set-Similarity Joins Using MapReduce

Efficient Parallel Set-Similarity Joins Using MapReduce

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Source URL: event.cwi.nl

- Date: 2010-08-10 12:02:00
    112Microsoft Word - Carsten_Keßler_-_Similarity_Measurement_in_Context-WEB.rtf

    Microsoft Word - Carsten_Keßler_-_Similarity_Measurement_in_Context-WEB.rtf

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    Source URL: carsten.io

    - Date: 2013-09-07 23:22:10
      113SPEC Hashing: Similarity Preserving algorithm for Entropy-based Coding Ruei-Sung Lin David A. Ross Google Inc. Mountain View, CA 94043

      SPEC Hashing: Similarity Preserving algorithm for Entropy-based Coding Ruei-Sung Lin David A. Ross Google Inc. Mountain View, CA 94043

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      Source URL: www.cs.toronto.edu

      - Date: 2010-04-01 18:31:57
        114LEARNING SIMILARITY FROM COLLABORATIVE FILTERS Brian McFee Luke Barrington∗ Gert Lanckriet∗ Computer Science and Engineering ∗ Electrical and Computer Engineering University of California, San Diego

        LEARNING SIMILARITY FROM COLLABORATIVE FILTERS Brian McFee Luke Barrington∗ Gert Lanckriet∗ Computer Science and Engineering ∗ Electrical and Computer Engineering University of California, San Diego

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        Source URL: eceweb.ucsd.edu

        - Date: 2015-07-31 19:00:26
          115Andrew Lovett, Eyal Sagi, Dedre Gentner, & Kenneth Forbus MODELING PERCEPTUAL SIMILARITY AS ANALOGY RESOLVES THE PARADOX OF DIFFERENCE DETECTION Andrew Lovett1

          Andrew Lovett, Eyal Sagi, Dedre Gentner, & Kenneth Forbus MODELING PERCEPTUAL SIMILARITY AS ANALOGY RESOLVES THE PARADOX OF DIFFERENCE DETECTION Andrew Lovett1

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          Source URL: silccenter.org

          - Date: 2010-05-15 15:08:54
            116NUIG-UNLP at SemEval-2016 Task 1: Soft Alignment and Deep Learning for Semantic Textual Similarity John P. McCrae and Kartik Asooja and Nitish Aggarwal and Paul Buitelaar Insight Centre for Data Analytics National Univer

            NUIG-UNLP at SemEval-2016 Task 1: Soft Alignment and Deep Learning for Semantic Textual Similarity John P. McCrae and Kartik Asooja and Nitish Aggarwal and Paul Buitelaar Insight Centre for Data Analytics National Univer

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            Source URL: aclweb.org

            - Date: 2016-06-28 01:50:27
              11710th International Society for Music Information Retrieval Conference (ISMIRAUGMENTING TEXT-BASED MUSIC RETRIEVAL WITH AUDIO SIMILARITY P. Knees1 , T. Pohle1 , M. Schedl1 , D. Schnitzer1,2 , K. Seyerlehner1 , and

              10th International Society for Music Information Retrieval Conference (ISMIRAUGMENTING TEXT-BASED MUSIC RETRIEVAL WITH AUDIO SIMILARITY P. Knees1 , T. Pohle1 , M. Schedl1 , D. Schnitzer1,2 , K. Seyerlehner1 , and

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              Source URL: ismir2009.ismir.net

              - Date: 2014-01-23 13:04:52
                118Document Similarity Amid Automatically Detected Terms ∗ Hardik Joshi

                Document Similarity Amid Automatically Detected Terms ∗ Hardik Joshi

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                Source URL: www.isical.ac.in

                - Date: 2014-12-05 23:51:05
                  119Don’t Match Twice: Redundancy-free Similarity Computation with MapReduce Lars Kolb Andreas Thor

                  Don’t Match Twice: Redundancy-free Similarity Computation with MapReduce Lars Kolb Andreas Thor

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                  Source URL: dbs.uni-leipzig.de

                  - Date: 2013-06-14 20:59:06
                    120Designing Seeds for Similarity Search in Genomic DNA Jeremy Buhler Department of Computer Science and Engineering Washington University

                    Designing Seeds for Similarity Search in Genomic DNA Jeremy Buhler Department of Computer Science and Engineering Washington University

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                    Source URL: www.cse.wustl.edu

                    - Date: 2003-04-08 13:08:18