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Organizing Large Image Documents with Self-Organizing Feature Maps

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F02%3A00003694" target="_blank" >RIV/00216208:11320/02:00003694 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Organizing Large Image Documents with Self-Organizing Feature Maps

  • Original language description

    Dealing efficiently with huge amounts of high-dimensional data requires a quick and reliable, but at the same time also robust information storage and retrieval. From this perspective, we study various models of self-organizing feature maps.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JC - Computer hardware and software

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA201%2F02%2F1456" target="_blank" >GA201/02/1456: Specialized computational models in contemporary computer science</a><br>

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2002

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    ITAT 2002: Information Technologies - Applications and Theory, Malino Brdo, Slovakia

  • ISBN

    80-7097-499-0

  • ISSN

  • e-ISSN

  • Number of pages

    14

  • Pages from-to

    45-58

  • Publisher name

    Prírodovedecká fakulta UPJŠ, Košice, Slovakia

  • Place of publication

    Košice, Slovakia

  • Event location

    Košice, Slovakia

  • Event date

    Jan 1, 2002

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article