Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11081)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
Conference proceedings info: ANNPR 2018.
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About this book
The 29 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 35 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.
Chapter "Bounded Rational Decision-Making with Adaptive Neural Network Priors" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
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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
- semantics
- supervised learning
- Support Vector Machines (SVM)
Table of contents (31 papers)
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Invited Papers
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Learning Algorithms and Architectures
Other volumes
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Artificial Neural Networks in Pattern Recognition
Editors and Affiliations
Bibliographic Information
Book Title: Artificial Neural Networks in Pattern Recognition
Book Subtitle: 8th IAPR TC3 Workshop, ANNPR 2018, Siena, Italy, September 19–21, 2018, Proceedings
Editors: Luca Pancioni, Friedhelm Schwenker, Edmondo Trentin
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-99978-4
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2018
Softcover ISBN: 978-3-319-99977-7Published: 30 August 2018
eBook ISBN: 978-3-319-99978-4Published: 29 August 2018
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XI, 408
Number of Illustrations: 132 b/w illustrations
Topics: Artificial Intelligence, Pattern Recognition, Image Processing and Computer Vision, Natural Language Processing (NLP), Data Mining and Knowledge Discovery