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

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
  • About this book