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Sparse Versions of Optimized Centroids

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F22%3A00562370" target="_blank" >RIV/67985807:_____/22:00562370 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/IJCNN55064.2022.9892838" target="_blank" >http://dx.doi.org/10.1109/IJCNN55064.2022.9892838</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/IJCNN55064.2022.9892838" target="_blank" >10.1109/IJCNN55064.2022.9892838</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Sparse Versions of Optimized Centroids

  • Original language description

    Centroid-based methods have an established place in a variety of tasks including object localization in images. A sophisticated method for constructing optimal centroids and corresponding weights has been proposed only recently. In order to reduce the computational demands of applying the optimal centroid, several novel sparse versions of the optimal centroids are proposed here, which are based on trimming away some of their pixels. Suitable novel sparse versions bring improvements compared to available optimal centroids. At the same time, some of the sparse optimal centroids (especially the method with thresholded optimal weights) turn out to be robust to noise in the images.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/GA22-02067S" target="_blank" >GA22-02067S: AppNeCo: Approximate Neurocomputing</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2022

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    2022 International Joint Conference on Neural Networks (IJCNN) Proceedings

  • ISBN

    978-1-7281-8671-9

  • ISSN

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

    1-7

  • Publisher name

    IEEE

  • Place of publication

    Piscataway

  • Event location

    Padua

  • Event date

    Jul 18, 2022

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000867070907075