Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12294)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Conference series link(s): ANNPR: IAPR Workshop on Artificial Neural Networks in Pattern Recognition
Conference proceedings info: ANNPR 2020.
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Table of contents (24 papers)
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Applications
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Back Matter
About this book
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.
Keywords
- 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
- supervised learning
- Support Vector Machines (SVM)
Editors and Affiliations
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Zurich University of Applied Sciences ZHAW, Winterthur, Switzerland
Frank-Peter Schilling, Thilo Stadelmann
Bibliographic Information
Book Title: Artificial Neural Networks in Pattern Recognition
Book Subtitle: 9th IAPR TC3 Workshop, ANNPR 2020, Winterthur, Switzerland, September 2–4, 2020, Proceedings
Editors: Frank-Peter Schilling, Thilo Stadelmann
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-58309-5
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Softcover ISBN: 978-3-030-58308-8Published: 02 September 2020
eBook ISBN: 978-3-030-58309-5Published: 01 September 2020
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XI, 306
Number of Illustrations: 91 b/w illustrations, 114 illustrations in colour
Topics: Artificial Intelligence, Image Processing and Computer Vision, Data Mining and Knowledge Discovery, Pattern Recognition, Computer Imaging, Vision, Pattern Recognition and Graphics
