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Advanced Algorithms for Pattern Identification

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F08%3APU77267" target="_blank" >RIV/00216305:26220/08:PU77267 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Advanced Algorithms for Pattern Identification

  • Original language description

    Three advanced algorithms for pattern identification are compared in this paper. They are for identification with the aid of the momentum, identification with the aid of syntactic analysis and identification with the aid of neural network algorithm withback-propagation. Pattern identification consists in sorting objects into classes. Class is a subset of objects whose elements have common features from the classification standpoint. Object has a physical character, which in computer vision is most frequently taken to mean a part of segmented image.

  • Czech name

    Pokročilé algoritmy pro identifikaci vzoru

  • Czech description

    Jsou popsány tři pokrokové algoritmy pro identifikaci vzoru.

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JA - Electronics and optoelectronics

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2008

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    9th International Conference of Signal Processing

  • ISBN

    978-1-4244-2179-4

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

  • Publisher name

    Technical University Boejing

  • Place of publication

    Boejing

  • Event location

    Boejing

  • Event date

    Oct 26, 2008

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article