Feature Extraction-Based Deep Self-Organizing Map-Reference-Cited by-同舟云学术

Feature Extraction-Based Deep Self-Organizing Map

Published:2022-01-15 Issue:5 Volume:41 Page:2802-2824
ISSN:0278-081X
Container-title:Circuits, Systems, and Signal Processing
language:en
Short-container-title:Circuits Syst Signal Process

Author:

Sakkari Mohamed,Hamdi Monia^ORCID,Elmannai Hela,AlGarni Abeer,Zaied Mourad

Funder

Princess Nourah Bint Abdulrahman University

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Signal Processing

Link

https://link.springer.com/content/pdf/10.1007/s00034-021-01914-3.pdf

Reference44 articles.

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2. S. Aly, S. Almotairi, Deep convolutional self-organizing map network for robust handwritten digit recognition. IEEE Access 8, 107035–107045 (2020). https://doi.org/10.1109/ACCESS.2020.3000829

3. D. Ao, Integration of Unsupervised Feature Learning and Neural Networks Applied to Image Recognition (South China University of Technology, Guangzhou, 2014), pp. 19–37

4. P. Arena, A. Basile, M. Bucolo, L. Fortuna, An object oriented segmentation on analog CNN chip. IEEE Trans. Circuits Syst. I Fundam. Theory Appl. 50(7), 837–846 (2003). https://doi.org/10.1109/TCSI.2003.813985

5. B.M. Barbalho, J.A.F. Costa, A.D.D. Neto, M.L.A. Netto, Hierarchical and dynamic SOM applied to image compression, in Proceedings of the International Joint Conference on Neural Networks (2003), pp. 753–758. https://doi.org/10.1109/IJCNN.2003.1223472

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