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Neural Information Processing

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

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

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9949)

Also part of the Theoretical Computer Science and General Issues book sub series (LNTCS, volume 9949)

Table of contents

  1. Front Matter
    Pages I-XVIII
  2. Time Series Analysis

    1. Front Matter
      Pages 1-1
    2. Shamina Hussein, Rohitash Chandra
      Pages 3-11
    3. Meiling Xu, Min Han, Shunshoku Kanae
      Pages 12-19
    4. Takaomi Hirata, Takashi Kuremoto, Masanao Obayashi, Shingo Mabu, Kunikazu Kobayashi
      Pages 30-37
  3. Data-Driven Approach for Extracting Latent Features from Multi-dimensional Data

    1. Front Matter
      Pages 49-49
    2. Chao Li, Lili Guo, Yu Tao, Jinyu Wang, Lin Qi, Zheng Dou
      Pages 51-60
    3. Shuchao Pang, Juan José del Coz, Zhezhou Yu, Oscar Luaces, Jorge Díez
      Pages 70-77
    4. Namgil Lee, Anh-Huy Phan, Fengyu Cong, Andrzej Cichocki
      Pages 87-95
    5. Eric Janvier, Thierry Couronne, Nistor Grozavu
      Pages 111-118
    6. Jun Kitazono, Nistor Grozavu, Nicoleta Rogovschi, Toshiaki Omori, Seiichi Ozawa
      Pages 119-128
  4. Topological and Graph Based Clustering Methods

    1. Front Matter
      Pages 129-129
    2. Jérémie Sublime, Antoine Cornuéjols, Younès Bennani
      Pages 148-155
    3. Hatim Chahdi, Nistor Grozavu, Isabelle Mougenot, Younès Bennani, Laure Berti-Equille
      Pages 156-164
    4. Jean-Philippe Attal, Maria Malek, Marc Zolghadri
      Pages 165-174
    5. Parisa Rastin, Tong Zhang, Guénaël Cabanes
      Pages 175-182
  5. Reinforcement Learning

    1. Front Matter
      Pages 183-183
    2. Bo Zhao, Ding Wang, Guang Shi, Derong Liu, Yuanchun Li
      Pages 185-192
    3. Haijun Zhu, Fei Zhu, Yuchen Fu, Quan Liu, Jianwei Zhai, Cijia Sun et al.
      Pages 211-220
    4. Cijia Sun, Xinghong Ling, Yuchen Fu, Quan Liu, Haijun Zhu, Jianwei Zhai et al.
      Pages 221-230
  6. Computational Intelligence

    1. Front Matter
      Pages 231-231
    2. Ngo Xuan Bach, Nguyen Dieu Linh, Tu Minh Phuong
      Pages 233-242
    3. Taisei Ueguchi, Nobuyuki Matsui, Teijiro Isokawa
      Pages 253-260
    4. Aneta Neumann, Bradley Alexander, Frank Neumann
      Pages 261-268
    5. Laizhong Cui, Genghui Li, Qiuzhen Lin, Jianyong Chen, Nan Lu, Guanjing Zhang
      Pages 279-289
    6. Chengdong Li, Li Wang, Zixiang Ding, Guiqing Zhang
      Pages 290-298
    7. Gary Wong, Rohitash Chandra, Anuraganand Sharma
      Pages 299-308
    8. Walayat Hussain, Farookh Khadeer Hussain, Omar Khadeer Hussain
      Pages 309-316
    9. Toshifumi Minemoto, Teijiro Isokawa, Masaki Kobayashi, Haruhiko Nishimura, Nobuyuki Matsui
      Pages 317-325
    10. Amit Roy Choudhury, Rishabh Jain, Kapil Sharma
      Pages 326-334
    11. Zhihui Lv, Furao Shen, Jinxi Zhao, Tao Zhu
      Pages 344-351
    12. Ayangleima Laishram, Satya Prakash Sahu, Vineet Padmanabhan, Siba Kumar Udgata
      Pages 352-361
  7. Data Mining

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. Neural Information Processing
    23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16–21, 2016, Proceedings, Part III
  4. 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 natural language processing particle swarm optimization recommender system self-organizing maps social networks

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/10.1007/978-3-319-46675-0
  • Copyright Information Springer International Publishing AG 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-46674-3
  • Online ISBN 978-3-319-46675-0
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site