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PPP-Codes for Large-Scale Similarity Searching

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F16%3A00087959" target="_blank" >RIV/00216224:14330/16:00087959 - isvavai.cz</a>

  • Result on the web

    <a href="http://link.springer.com/chapter/10.1007/978-3-662-49214-7_2" target="_blank" >http://link.springer.com/chapter/10.1007/978-3-662-49214-7_2</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-662-49214-7_2" target="_blank" >10.1007/978-3-662-49214-7_2</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    PPP-Codes for Large-Scale Similarity Searching

  • Original language description

    Many current applications need to organize data with respect to mutual similarity between data objects. A typical general strategy to retrieve objects similar to a given sample is to access and then refine a candidate set of objects. We propose an indexing and search technique that can significantly reduce the candidate set size by combination of several space partitionings. Specifically, we propose a mapping of objects from a generic metric space onto main memory codes using several pivot spaces; our search algorithm first ranks objects within each pivot space and then aggregates these rankings producing a candidate set reduced by two orders of magnitude while keeping the same answer quality. Our approach is designed to well exploit contemporary HW: (1) larger main memories allow us to use rich and fast index, (2) multi-core CPUs well suit our parallel search algorithm, and (3) SSD disks without mechanical seeks enable efficient selective retrieval of candidate objects.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GBP103%2F12%2FG084" target="_blank" >GBP103/12/G084: Center for Large Scale Multi-modal Data Interpretation</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2016

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Transactions on Large-Scale Data- and Knowledge-Centered Systems XXIV

  • ISBN

    9783662492130

  • ISSN

    0302-9743

  • e-ISSN

  • Number of pages

    27

  • Pages from-to

    61-87

  • Publisher name

    Springer

  • Place of publication

    Berlin Heidelberg

  • Event location

    Berlin Heidelberg

  • Event date

    Jan 1, 2016

  • Type of event by nationality

    CST - Celostátní akce

  • UT code for WoS article