Neural Information Processing
27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23–27, 2020, Proceedings, Part I
Editors: Yang, H., Pasupa, K., Leung, A.C.-S., Kwok, J.T., Chan, J.H., King, I. (Eds.)
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- About this book
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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 first volume, LNCS 12532, is organized in topical sections on human-computer interaction; image processing and computer vision; natural language processing.
- Table of contents (67 chapters)
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A Genetic Feature Selection Based Two-Stream Neural Network for Anger Veracity Recognition
Pages 3-11
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An Efficient Joint Training Framework for Robust Small-Footprint Keyword Spotting
Pages 12-23
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Hierarchical Interactive Matching Network for Multi-turn Response Selection in Retrieval-Based Chatbots
Pages 24-35
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Investigation of Effectively Synthesizing Code-Switched Speech Using Highly Imbalanced Mix-Lingual Data
Pages 36-47
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A Feature Fusion Network for Multi-modal Mesoscale Eddy Detection
Pages 51-61
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Table of contents (67 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Neural Information Processing
- Book Subtitle
- 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23–27, 2020, Proceedings, Part I
- Editors
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- Haiqin Yang
- Kitsuchart Pasupa
- Andrew Chi-Sing Leung
- James T. Kwok
- Jonathan H. Chan
- Irwin King
- Series Title
- Theoretical Computer Science and General Issues
- Series Volume
- 12532
- Copyright
- 2020
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer Nature Switzerland AG
- eBook ISBN
- 978-3-030-63830-6
- DOI
- 10.1007/978-3-030-63830-6
- Softcover ISBN
- 978-3-030-63829-0
- Edition Number
- 1
- Number of Pages
- XXVI, 813
- Number of Illustrations
- 112 b/w illustrations
- Topics
