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
—