Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11953)
Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)
Included in the following conference series:
Conference proceedings info: ICONIP 2019.
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Table of contents (63 papers)
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Adversarial Networks and Learning
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Convolutional Neural Networks
Other volumes
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Neural Information Processing
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Neural Information Processing
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Neural Information Processing
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Neural Information Processing
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Neural Information Processing
Keywords
- artificial intelligence
- classification
- cognitive neurosciences
- computational linguistics
- computational neurosciences
- data security
- deep learning
- human centered computing
- image processing
- image reconstruction
- image segmentation
- learning algorithms
- machine learning
- neural learning models
- neural networks
- semantics
- signal processing
- support vector machines
- SVM
- unsupervised neural models
About this book
The three-volume set of LNCS 11953, 11954, and 11955 constitutes the proceedings of the 26th International Conference on Neural Information Processing, ICONIP 2019, held in Sydney, Australia, in December 2019.
The 173 full papers presented were carefully reviewed and selected from 645 submissions. The papers address the emerging topics of theoretical research, empirical studies, and applications of neural information processing techniques across different domains. The first volume, LNCS 11953, is organized in topical sections on adversarial networks and learning; convolutional neural networks; deep neural networks; feature learning and representation; human centred computing; human centred computing and medicine; hybrid models; and artificial intelligence and cybersecurity.
Editors and Affiliations
Bibliographic Information
Book Title: Neural Information Processing
Book Subtitle: 26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12–15, 2019, Proceedings, Part I
Editors: Tom Gedeon, Kok Wai Wong, Minho Lee
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-36708-4
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Softcover ISBN: 978-3-030-36707-7Published: 13 December 2019
eBook ISBN: 978-3-030-36708-4Published: 12 December 2019
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XXII, 781
Number of Illustrations: 84 b/w illustrations, 234 illustrations in colour
Topics: Pattern Recognition, Artificial Intelligence, Image Processing and Computer Vision, Information Systems Applications (incl. Internet), Special Purpose and Application-Based Systems