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Efficient Image Retrieval by Fuzzy Rules from Boosting and Metaheuristic Cover

Efficient Image Retrieval by Fuzzy Rules from Boosting and Metaheuristic

Journal of Artificial Intelligence and Soft Computing Research
Volume 10 (2020): Issue 1 (January 2020)
By: Marcin Korytkowski,  Roman Senkerik,  Magdalena M. Scherer,  Rafal A. Angryk,  Miroslaw Kordos and  Agnieszka Siwocha  
Open Access
|Dec 2019

Authors

Marcin Korytkowski

marcin.korytkowski@pcz.pl

Department of Computer Engineering, Częstochowa University of Technology, Częstochowa, Poland

Roman Senkerik

Tomas Bata University in Zlín, Zlín

Magdalena M. Scherer

Faculty of Management, Częstochowa University of Technology, Częstochowa, Poland

Rafal A. Angryk

Department of Computer Science, Georgia State University, Atlanta

Miroslaw Kordos

Department of Computer Science and Automatics, University of Bielsko-Biała, Poland

Agnieszka Siwocha

Information Technology Institute, University of Social Science, Łódź, Clark University, Worcester
DOI: https://doi.org/10.2478/jaiscr-2020-0005
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Language: English
Page range: 57 - 69
Submitted on: Sep 14, 2019
|
Accepted on: Nov 16, 2019
|
Published on: Dec 11, 2019
Published by: SAN University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
image retrieval,
fuzzy rules,
local image features
Related subjects:
Computer sciences,
Artificial intelligence,
Databases and data mining

© 2019 Marcin Korytkowski, Roman Senkerik, Magdalena M. Scherer, Rafal A. Angryk, Miroslaw Kordos, Agnieszka Siwocha, published by SAN University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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