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Erratum for: Approximating and Testing k-Histogram Distributions in Sub-linear Time

Published: 20 May 2015 Publication History

Abstract

No abstract available.

References

[1]
Piotr Indyk, Reut Levi, and Ronitt Rubinfeld. Approximating and testing k-histogram distributions in sub-linear time. Electronic Colloquium on Computational Complexity (ECCC), 18:171, 2011.
[2]
Piotr Indyk, Reut Levi, and Ronitt Rubinfeld. Approximating and testing k-histogram distributions in sub-linear time. In Proceedings of the 31st ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems, PODS 2012, Scottsdale, AZ, USA, May 20-24, 2012, pages 15-22, 2012.

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  • (2019)A Large-Scale Image Retrieval Method Based on Image Elimination Technology and Supervised Kernel HashAdvanced Hybrid Information Processing10.1007/978-3-030-19086-6_26(233-243)Online publication date: 12-May-2019

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  1. Erratum for: Approximating and Testing k-Histogram Distributions in Sub-linear Time

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    Published In

    cover image ACM Conferences
    PODS '15: Proceedings of the 34th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems
    May 2015
    358 pages
    ISBN:9781450327572
    DOI:10.1145/2745754
    • General Chair:
    • Tova Milo,
    • Program Chair:
    • Diego Calvanese
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 20 May 2015

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    Author Tags

    1. distribution
    2. histogram
    3. property testing

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    • Abstract

    Conference

    SIGMOD/PODS'15
    Sponsor:
    SIGMOD/PODS'15: International Conference on Management of Data
    May 31 - June 4, 2015
    Victoria, Melbourne, Australia

    Acceptance Rates

    PODS '15 Paper Acceptance Rate 25 of 80 submissions, 31%;
    Overall Acceptance Rate 642 of 2,707 submissions, 24%

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    • (2019)A Large-Scale Image Retrieval Method Based on Image Elimination Technology and Supervised Kernel HashAdvanced Hybrid Information Processing10.1007/978-3-030-19086-6_26(233-243)Online publication date: 12-May-2019

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