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On Applications of Parameterized Hyperplane Partitioning

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F10%3A10038303" target="_blank" >RIV/00216208:11320/10:10038303 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    On Applications of Parameterized Hyperplane Partitioning

  • Original language description

    The efficient similarity search in metric spaces is usually based on several low-level partitioning principles, which allow filtering of non-relevant objects during the search. In this paper, we propose a parameterizable partitioning method based on thegeneralized hyperplane partitioning (GHP), which utilizes a parameter to adjust ``borders'' of the partitions. The new partitioning method could be employed in the existing metric indexes that are based on GHP (e.g., GNAT, M-index). Moreover, we could employ the parameterizable GHP in the role of a new multi-example query type, defined as a partition determined by an available query object and several ``anti-example'' objects. We believe that both applications of parameterizable GHP can soon take placein metric access methods and new query models.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA201%2F09%2F0683" target="_blank" >GA201/09/0683: Similarity searching in very large multimedia databases</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2010

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Third International Conference on Similarity Search and Applications

  • ISBN

    978-1-4503-0420-7

  • ISSN

  • e-ISSN

  • Number of pages

    2

  • Pages from-to

  • Publisher name

    ACM

  • Place of publication

    Istanbul, Turkey

  • Event location

    Istanbul, Turkey

  • Event date

    Sep 18, 2010

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article