Schilling Artificial Neural Networks in Pattern Recognition

Artificial Neural Networks in Pattern Recognition

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9th IAPR TC3 Workshop, ANNPR 2020, Winterthur, Switzerland, September 2–4, 2020, Proceedings

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Beschreibung

This book constitutes the refereed proceedings of the 9th IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2020, held in Winterthur, Switzerland, in September 2020. The conference was held virtually due to the COVID-19 pandemic.
The 22 revised full papers presented were carefully reviewed and selected from 34 submissions. The papers present and discuss the latest research in all areas of neural network-and machine learning-based pattern recognition. They are organized in two sections: learning algorithms and architectures, and applications.


Autor*in

Frank-Peter Schilling

Themen in »Artificial Neural Networks in Pattern Recognition«

artificial intelligence classification clustering clustering algorithms data security feature selection image processing image segmentation learning algorithms machine learning network architecture neural networks object recognition pattern recognition recurrent neural networks

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Details

ISBN: 9783030583088
Verlag: Springer International Publishing
Erscheinung: 02.09.2020

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