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Neural Information Processing

23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16–21, 2016, Proceedings, Part IV

  • Akira Hirose
  • Seiichi Ozawa
  • Kenji Doya
  • Kazushi Ikeda
  • Minho Lee
  • Derong Liu

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9950)

Also part of the Theoretical Computer Science and General Issues book sub series (LNTCS, volume 9950)

Table of contents

  1. Front Matter
    Pages I-XIX
  2. Applications

    1. Front Matter
      Pages 1-1
    2. Shih Yin Ooi, Shing Chiang Tan, Wooi Ping Cheah
      Pages 3-10
    3. Myunggi Lee, Hyeogjin Lee, Jiyong Oh, Hak Jong Lee, Seung Hyup Kim, Nojun Kwak
      Pages 19-27
    4. Kazumasa Horie, Atsuo Suemitsu, Tomohiro Tanno, Masahiko Morita
      Pages 28-35
    5. Dabeeruddin Syed, Jadran Sessa, Andreas Henschel, Davor Svetinovic
      Pages 36-43
    6. Li Zhang, Xiaojuan Huang, Bangjun Wang, Fanzhang Li, Zhao Zhang
      Pages 44-51
    7. Marcos Alvares, Fernando Buarque de Lima Neto, Tshilidzi Marwala
      Pages 60-69
    8. Yuxin Ding, Siyi Zhu, Xiaoling Xia
      Pages 70-77
    9. Peisong Zhu, Tieyun Qian, Ming Zhong, Xuhui Li
      Pages 86-94
    10. László Szilágyi, Gellért Dénesi, Călin Enăchescu
      Pages 95-103
    11. Xin Wang, Yuanchao Liu, Chengjie Sun, Ming Liu, Xiaolong Wang
      Pages 104-111
    12. Jiani Zhang, Irwin King
      Pages 112-119
    13. Sameen Mansha, Zaheer Babar, Faisal Kamiran, Asim Karim
      Pages 129-136
    14. Marco Antonio Álvarez, Carlos Dafonte, Daniel Garabato, Minia Manteiga
      Pages 137-144
  3. Computational and Cognitive Neurosciences

    1. Front Matter
      Pages 145-145
    2. Devu Mahesan, Manisha Chawla, Krishna P. Miyapuram
      Pages 156-163
    3. Masazumi Katayama, Yusuke Akimaru
      Pages 199-207
    4. Ryoichi Nakajo, Maasa Takahashi, Shingo Murata, Hiroaki Arie, Tetsuya Ogata
      Pages 228-235
    5. Erich Schikuta, Abdelkader Magdy, A. Baith Mohamed
      Pages 236-243
  4. Theory and Algorithms

    1. Front Matter
      Pages 259-259
    2. Kenshi Uchihashi, Atsunori Kanemura
      Pages 261-269
    3. Nesrine Grati, Achraf Ben-Hamadou, Mohamed Hammami
      Pages 286-293
    4. Koki Sakata, Shota Sakashita, Kazuya Matsuo, Shuichi Kurogi
      Pages 302-311
    5. Xingyuan Bu, Mingtao Pei, Yunde Jia
      Pages 329-336
    6. Vanika Singhal, Anupriya Gogna, Angshul Majumdar
      Pages 337-344
    7. Tetsuya Sakurai, Akira Imakura, Yuto Inoue, Yasunori Futamura
      Pages 354-362
    8. DongXu Tan, JunMin Wu, HuanXin Zheng, Yan Yin, YaXin Liu
      Pages 363-371

Other volumes

  1. 23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16–21, 2016, Proceedings, Part I
  2. 23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16–21, 2016, Proceedings, Part II
  3. 23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16–21, 2016, Proceedings, Part III
  4. Neural Information Processing
    23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16–21, 2016, Proceedings, Part IV

About these proceedings

Introduction

The four volume set LNCS 9947, LNCS 9948, LNCS 9949, and LNCS 9950 constitues the proceedings of the 23rd International Conference on Neural Information Processing, ICONIP 2016, held in Kyoto, Japan, in October 2016. The 296 full papers presented were carefully reviewed and selected from 431 submissions. The 4 volumes are organized in topical sections on deep and reinforcement learning; big data analysis; neural data analysis; robotics and control; bio-inspired/energy efficient information processing; whole brain architecture; neurodynamics; bioinformatics; biomedical engineering; data mining and cybersecurity workshop; machine learning; neuromorphic hardware; sensory perception; pattern recognition; social networks; brain-machine interface; computer vision; time series analysis; data-driven approach for extracting latent features; topological and graph based clustering methods; computational intelligence; data mining; deep neural networks; computational and cognitive neurosciences; theory and algorithms.

Keywords

embedded systems genetic algorithms neural networks pattern recognition swarm intelligence big data biometric authentication brain-computer interface cellular neural network cloud computing computational intelligence data mining evolutionary algorithm image semantics natural language processing particle swarm optimization recommender system self-organizing maps

Editors and affiliations

  • Akira Hirose
    • 1
  • Seiichi Ozawa
    • 2
  • Kenji Doya
    • 3
  • Kazushi Ikeda
    • 4
  • Minho Lee
    • 5
  • Derong Liu
    • 6
  1. 1.The University of Tokyo TokyoJapan
  2. 2.Kobe University KobeJapan
  3. 3.Okinawa Institute of Science and Technology Graduate UniversityOnnaJapan
  4. 4.Nara Institute of Science and Technology IkomaJapan
  5. 5.Kyungpook National University DaeguKorea (Republic of)
  6. 6.Chinese Academy of Sciences BeijingChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-46681-1
  • Copyright Information Springer International Publishing AG 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-46680-4
  • Online ISBN 978-3-319-46681-1
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site