Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12533)
Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)
Conference series link(s): ICONIP: International Conference on Neural Information Processing
Conference proceedings info: ICONIP 2020.
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Table of contents (68 papers)
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Front Matter
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Computational Intelligence
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Front Matter
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Machine Learning
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Front Matter
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Other Volumes
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Neural Information Processing
About this book
The three-volume set of LNCS 12532, 12533, and 12534 constitutes the proceedings of the 27th International Conference on Neural Information Processing, ICONIP 2020, held in Bangkok, Thailand, in November 2020. Due to COVID-19 pandemic the conference was held virtually.
The 187 full papers presented were carefully reviewed and selected from 618 submissions. The papers address the emerging topics of theoretical research, empirical studies, and applications of neural information processing techniques across different domains. The second volume, LNCS 12533, is organized in topical sections on computational intelligence; machine learning; robotics and control.
Keywords
- artificial intelligence
- computer networks
- theory of computation
- design and analysis of algorithms
- mathematical optimization
- online algorithms
- computational and cognitive neurosciences
- theory and algorithms for application domains
- machine learning theory
- reinforcement learning
- models of learning
- human-centered computing
- human computer interaction (HCI)
- collaborative and social computing
- image analysis
- image processing
- pattern recognition
Editors and Affiliations
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Department of AI, Ping An Life, Shenzhen, China
Haiqin Yang
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Faculty of Information Technology, King Mongkut’s Institute of Technology Ladkrabang, Bangkok, Thailand
Kitsuchart Pasupa
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City University of Hong Kong, Kowloon, China
Andrew Chi-Sing Leung
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Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong, Hong Kong
James T. Kwok
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School of Information Technology, King Mongkut’s University of Technology Thonburi, Bangkok, Thailand
Jonathan H. Chan
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The Chinese University of Hong Kong, New Territories, Hong Kong
Irwin King
Bibliographic Information
Book Title: Neural Information Processing
Book Subtitle: 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23–27, 2020, Proceedings, Part II
Editors: Haiqin Yang, Kitsuchart Pasupa, Andrew Chi-Sing Leung, James T. Kwok, Jonathan H. Chan, Irwin King
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-63833-7
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Softcover ISBN: 978-3-030-63832-0Published: 20 November 2020
eBook ISBN: 978-3-030-63833-7Published: 19 November 2020
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XXVI, 823
Number of Illustrations: 229 b/w illustrations, 254 illustrations in colour
Topics: Pattern Recognition, Machine Learning, Computer Applications