Publication type: Conference proceedings
Type of review: Peer review (publication)
Title: Artificial neural networks in pattern recognition : proceedings of the 9th IAPR TC3 workshop, ANNPR 2020, Winterthur, Switzerland, September 2–4, 2020
Editors: Schilling, Frank-Peter
Stadelmann, Thilo
DOI: 10.1007/978-3-030-58309-5
Published in: Lecture Notes on Artificial Intelligence
Extent: 306
Conference details: 9th IAPR TC 3 Workshop on Artificial Neural Networks for Pattern Recognition (ANNPR'20), Winterthur, Switzerland, 2-4 September 2020
Issue Date: Sep-2020
Series: Lecture Notes in Computer Science
Series volume: 12294
Publisher / Ed. Institution: Springer
ISBN: 978-3-030-58308-8
Language: English
Subjects: Artificial intelligence; AI; Künstliche Intelligenz; KI
Subject (DDC): 004: Computer science
Abstract: 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.
Fulltext version: Published version
License (according to publishing contract): Licence according to publishing contract
Departement: School of Engineering
Organisational Unit: Institute of Applied Information Technology (InIT)
Appears in Collections:Publikationen School of Engineering

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