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Neural Information Processing

27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23–27, 2020, Proceedings, Part I

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Haiqin Yang

    1. Department of AI, Ping An Life, Shenzhen, China

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  2. Kitsuchart Pasupa

    1. Faculty of Information Technology, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand

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  3. Andrew Chi-Sing Leung

    1. City University of Hong Kong, Kowloon, Hong Kong

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  4. James T. Kwok

    1. Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong, Hong Kong

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  5. Jonathan H. Chan

    1. School of Information Technology, King Mongkut’s University of Technology Thonburi, Bangkok, Thailand

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  6. Irwin King

    1. The Chinese University of Hong Kong, New Territories, Hong Kong

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12532)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Included in the following conference series:

Conference proceedings info: ICONIP 2020.

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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 first volume, LNCS 12532, is organized in topical sections on human-computer interaction; image processing and computer vision; natural language processing.

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Table of contents (67 papers)

  1. Front Matter

    Pages i-xxvi
    Download chapter PDF

  2. Human-Computer Interaction

    1. Front Matter

      Pages 1-1
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    2. A Genetic Feature Selection Based Two-Stream Neural Network for Anger Veracity Recognition

      • Chaoxing Huang, Xuanying Zhu, Tom Gedeon
      Pages 3-11

    3. An Efficient Joint Training Framework for Robust Small-Footprint Keyword Spotting

      • Yue Gu, Zhihao Du, Hui Zhang, Xueliang Zhang
      Pages 12-23

    4. Hierarchical Interactive Matching Network for Multi-turn Response Selection in Retrieval-Based Chatbots

      • Ting Yang, Ruifang He, Longbiao Wang, Xiangyu Zhao, Jiangwu Dang
      Pages 24-35

    5. Investigation of Effectively Synthesizing Code-Switched Speech Using Highly Imbalanced Mix-Lingual Data

      • Shaotong Guo, Longbiao Wang, Sheng Li, Ju Zhang, Cheng Gong, Yuguang Wang et al.
      Pages 36-47

  3. Image Processing and Computer Vision

    1. Front Matter

      Pages 49-49
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    2. A Feature Fusion Network for Multi-modal Mesoscale Eddy Detection

      • Zhenlin Fan, Guoqiang Zhong, Haitao Li
      Pages 51-61

    3. A Hybrid Self-Attention Model for Pedestrians Detection

      • Yuan Wang, Chao Zhu, Xu-Cheng Yin
      Pages 62-74

    4. DF-PLSTM-FCN: A Method for Unmanned Driving Based on Dual-Fusions and Parallel LSTM-FCN

      • Meng Wei, Yuchen Fu, Shan Zhong, Zicheng Li
      Pages 75-87

    5. A Modified Joint Geometrical and Statistical Alignment Approach for Low-Resolution Face Recognition

      • Rakesh Kumar Sanodiya, Pranav Kumar, Mrinalini Tiwari, Leehter Yao, Jimson Mathew
      Pages 88-100

    6. A Part Fusion Model for Action Recognition in Still Images

      • Wei Wu, Jiale Yu
      Pages 101-112

    7. An Empirical Study of Deep Neural Networks for Glioma Detection from MRI Sequences

      • Matthieu Coupet, Thierry Urruty, Teerapong Leelanupab, Mathieu Naudin, Pascal Bourdon, Christine Fernandez-Maloigne et al.
      Pages 113-125

    8. Analysis of Texture Representation in Convolution Neural Network Using Wavelet Based Joint Statistics

      • Yusuke Hamano, Hayaru Shouno
      Pages 126-136

    9. Auto-Classifier: A Robust Defect Detector Based on an AutoML Head

      • Vasco Lopes, Luís A. Alexandre
      Pages 137-149

    10. Automating Inspection of Moveable Lane Barrier for Auckland Harbour Bridge Traffic Safety

      • Boris Bačić, Munish Rathee, Russel Pears
      Pages 150-161

    11. Bionic Vision Descriptor for Image Retrieval

      • Guangzhe Li, Shenglan Liu, Feilong Wang, Lin Feng
      Pages 162-173

    12. Brain Tumor Segmentation from Multi-spectral MR Image Data Using Random Forest Classifier

      • Szabolcs Csaholczi, David Iclănzan, Levente Kovács, László Szilágyi
      Pages 174-184

    13. CAU-net: A Novel Convolutional Neural Network for Coronary Artery Segmentation in Digital Substraction Angiography

      • Rui-Qi Li, Gui-Bin Bian, Xiao-Hu Zhou, Xiaoliang Xie, Zhen-Liang Ni, Zengguang Hou
      Pages 185-196

    14. Combining Filter Bank and KSH for Image Retrieval in Bone Scintigraphy

      • Hang Xu, Yu Qiao, Yueyang Gu, Jie Yang
      Pages 197-206
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Other volumes

  1. Neural Information Processing

  2. Neural Information Processing

  3. Neural Information Processing

  4. Neural Information Processing

  5. Neural Information Processing

Editors and Affiliations

  • Department of AI, Ping An Life, Shenzhen, China

    Haiqin Yang

  • Faculty of Information Technology, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand

    Kitsuchart Pasupa

  • City University of Hong Kong, Kowloon, Hong Kong

    Andrew Chi-Sing Leung

  • Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong, Hong Kong

    James T. Kwok

  • School of Information Technology, King Mongkut’s University of Technology Thonburi, Bangkok, Thailand

    Jonathan H. Chan

  • 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 I

  • 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/10.1007/978-3-030-63830-6

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer Nature Switzerland AG 2020

  • Softcover ISBN: 978-3-030-63829-0Published: 19 November 2020

  • eBook ISBN: 978-3-030-63830-6Published: 18 November 2020

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XXVI, 813

  • Number of Illustrations: 112 b/w illustrations

  • Topics: Pattern Recognition, Machine Learning, Information Systems and Communication Service, Computer Applications

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