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Choice of the p-norm for High Level Classification Features Pruning in Modern Convolutional Neural Networks With Local Sensitivity Analysis Cover

Choice of the p-norm for High Level Classification Features Pruning in Modern Convolutional Neural Networks With Local Sensitivity Analysis

International Journal of Applied Mathematics and Computer Science
Volume 33 (2023): Issue 4 (December 2023)
By: Ernest Jeczmionek and  Piotr A. Kowalski  
Open Access
|Dec 2023

Authors

Ernest Jeczmionek

ejec@agh.edu.pl

Doctoral School, AGH University of Krakow, Krakow, Poland

Piotr A. Kowalski

pkowal@agh.edu.pl

Faculty of Physics and Applied Computer Science, AGH University of Krakow, Krakow, Poland
Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland
DOI: https://doi.org/10.34768/amcs-2023-0047 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
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Language: English
Page range: 663 - 672
Submitted on: May 5, 2023
Accepted on: Aug 9, 2023
Published on: Dec 21, 2023
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
convolutional neural network,
pruning,
sensitivity analysis,
transfer learning,
ImageNet
Related subjects:
Mathematics,
Applied mathematics

© 2023 Ernest Jeczmionek, Piotr A. Kowalski, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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