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Map Similarity Testing Using Matrix Decomposition

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F09%3A86077841" target="_blank" >RIV/61989100:27240/09:86077841 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Map Similarity Testing Using Matrix Decomposition

  • Original language description

    The similarity of two maps can be most easily compared visually. In this case, the degree of similarity is very subjective. It is therefore necessary to find an objective method for measuring similarity. This paper presents a method based on Singular Value Decomposition (SVD).

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2009

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    2009 INTERNATIONAL CONFERENCE ON INTELLIGENT NETWORKING AND COLLABORATIVE SYSTEMS (INCOS 2009)

  • ISBN

    978-1-4244-5165-4

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

  • Publisher name

    IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA

  • Place of publication

    NEW YORK

  • Event location

    Open Univ Catalonia, Barcelona, SPAIN

  • Event date

    Nov 4, 2009

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000289914800051