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F-Transform and Convolutional NN:Cross-Fertilization and Step Forward

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F20%3AA21025CC" target="_blank" >RIV/61988987:17610/20:A21025CC - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/9177572" target="_blank" >https://ieeexplore.ieee.org/document/9177572</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/FUZZ48607.2020.9177572" target="_blank" >10.1109/FUZZ48607.2020.9177572</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    F-Transform and Convolutional NN:Cross-Fertilization and Step Forward

  • Original language description

    We propose to assign the F-transform kernels to the CNN weights and compare them with commonly used initialization. By this, we develop a new initialization mechanism where the F-transform convolution kernels are used in the convolutional layers. Based on a series of experiments, we demonstrate the suitability of the F-transform-based deep neural network in the domain of image processing with the focus on classification. Moreover, we support our insight by revealing the similarity between the F-transform and first-layer kernels in certain deep neural networks.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10102 - Applied mathematics

Result continuities

  • Project

    <a href="/en/project/EF17_049%2F0008414" target="_blank" >EF17_049/0008414: Centre for the development of Artificial Intelligence Methods for the Automotive Industry of the region</a><br>

  • Continuities

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

Others

  • Publication year

    2020

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    EEE International Conference on Fuzzy Systems (FUZZ-IEEE)

  • ISBN

    978-1-7281-6933-0

  • ISSN

    1544-5615

  • e-ISSN

    1558-4739

  • Number of pages

    6

  • Pages from-to

  • Publisher name

    IEEE

  • Place of publication

  • Event location

    Glasgow, United Kingdom

  • Event date

    Jul 19, 2020

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article