Streaming algorithms

Results: 115



#Item
21Ilya Razenshteyn  September 15, 2015 Resear interests Similarity search, sketching, metric embeddings, high-dimensional geometry, streaming algorithms, compressed sensing, combinatorial optimization.

Ilya Razenshteyn September 15, 2015 Resear interests Similarity search, sketching, metric embeddings, high-dimensional geometry, streaming algorithms, compressed sensing, combinatorial optimization.

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Source URL: ilyaraz.org

Language: English - Date: 2015-09-15 10:00:49
    22T HE J OHNS H OPKINS U NIVERSITY  Jerboa: A Toolkit for Randomized and Streaming Algorithms Benjamin Van Durme T ECHNICAL R EPORT 7

    T HE J OHNS H OPKINS U NIVERSITY Jerboa: A Toolkit for Randomized and Streaming Algorithms Benjamin Van Durme T ECHNICAL R EPORT 7

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    Source URL: www.cs.jhu.edu

    Language: English - Date: 2012-05-30 16:42:27
      23TAPAS: a Tool for rApid Prototyping of Adaptive Streaming algorithms Luca De Cicco Vito Caldaralo

      TAPAS: a Tool for rApid Prototyping of Adaptive Streaming algorithms Luca De Cicco Vito Caldaralo

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      Source URL: conferences2.sigcomm.org

      Language: English - Date: 2014-12-01 17:05:18
      24New Estimation Algorithms for Streaming Data: Count-min Can Do More Fan Deng University of Alberta   Davood Rafiei

      New Estimation Algorithms for Streaming Data: Count-min Can Do More Fan Deng University of Alberta Davood Rafiei

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      Source URL: webdocs.cs.ualberta.ca

      Language: English - Date: 2013-08-08 14:28:29
      25Fast Greedy Algorithms in MapReduce and Streaming Ravi Kumar∗ Google Mountain View, CA  Benjamin Moseley∗†

      Fast Greedy Algorithms in MapReduce and Streaming Ravi Kumar∗ Google Mountain View, CA Benjamin Moseley∗†

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      Source URL: cseweb.ucsd.edu

      Language: English - Date: 2013-07-26 16:27:26
        26Amit Chakrabarti Curriculum Vitae April 2014 Associate Professor Department of Computer Science

        Amit Chakrabarti Curriculum Vitae April 2014 Associate Professor Department of Computer Science

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        Source URL: www.cs.dartmouth.edu

        Language: English - Date: 2015-10-14 21:30:58
        27A Heaviest Hitters Limiting Mechanism with O(1) Time Complexity for Sliding-Window Data Streams  117 A Heaviest Hitters Limiting Mechanism with O(1) Time Complexity for Sliding-Window Data Streams

        A Heaviest Hitters Limiting Mechanism with O(1) Time Complexity for Sliding-Window Data Streams 117 A Heaviest Hitters Limiting Mechanism with O(1) Time Complexity for Sliding-Window Data Streams

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        Source URL: utopia.duth.gr

        Language: English
        28A Mergeable Summaries Pankaj K. Agarwal, Graham Cormode, Zengfeng Huang, Jeff M. Phillips, Zhewei Wei, and Ke Yi  We study the mergeability of data summaries. Informally speaking, mergeability requires that, given two

        A Mergeable Summaries Pankaj K. Agarwal, Graham Cormode, Zengfeng Huang, Jeff M. Phillips, Zhewei Wei, and Ke Yi We study the mergeability of data summaries. Informally speaking, mergeability requires that, given two

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        Source URL: www.cs.utah.edu

        Language: English - Date: 2013-06-30 22:33:39
        29Pan-Private Streaming Algorithms Cynthia Dwork∗ Moni Naor†  Toniann Pitassi‡

        Pan-Private Streaming Algorithms Cynthia Dwork∗ Moni Naor† Toniann Pitassi‡

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        Source URL: www.wisdom.weizmann.ac.il

        Language: English - Date: 2010-05-25 09:43:30
          30Mergeable Summaries Pankaj K. Agarwal Graham Cormode Zhewei Wei

          Mergeable Summaries Pankaj K. Agarwal Graham Cormode Zhewei Wei

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          Source URL: www.cs.utah.edu

          Language: English - Date: 2011-08-26 19:16:55