Neural Information Processing

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

  • Akira Hirose
  • Seiichi Ozawa
  • Kenji Doya
  • Kazushi Ikeda
  • Minho Lee
  • Derong Liu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9947)

Table of contents

  1. Front Matter
    Pages I-XIX
  2. Deep and Reinforcement Learning

    1. Front Matter
      Pages 1-1
    2. Jianwei Zhai, Quan Liu, Zongzhang Zhang, Shan Zhong, Haijun Zhu, Peng Zhang et al.
      Pages 13-22
    3. Kohei Henmi, Motonobu Hattori
      Pages 32-39
  3. Big Data Analysis

    1. Front Matter
      Pages 49-49
    2. Yen Hsun Chuang, Ho Wen Chen, Wei Yea Chen, Ya Chin Teng
      Pages 51-60
    3. Asma Musabah Alkalbani, Ahmed Mohamed Ghamry, Farookh Khadeer Hussain, Omar Khadeer Hussain
      Pages 61-71
    4. Asif Qumer Gill, Sarhang Hevary
      Pages 72-79
    5. Man-Ching Yuen, Irwin King, Kwong-Sak Leung
      Pages 91-101
  4. Neural Data Analysis

    1. Front Matter
      Pages 103-103
    2. Juergen Fell, Tobias Wagner, Bernhard P. Staresina, Charan Ranganath, Christian E. Elger, Nikolai Axmacher
      Pages 105-114
    3. Kohei Watanabe, Jun-nosuke Teramae, Naoki Wakamiya
      Pages 115-122
    4. M. Hasuike, Y. Yamane, H. Tamura, K. Sakai
      Pages 131-137
    5. Gaochao Cui, Qibin Zhao, Toshihisa Tanaka, Jianting Cao, Andrzej Cichocki
      Pages 138-146
  5. Robotics and Control

    1. Front Matter
      Pages 147-147

Other volumes

  1. Neural Information Processing
    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. 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 constitutes 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 TokyoTokyoJapan
  2. 2.Kobe UniversityKobeJapan
  3. 3.Okinawa Institute of Science and Technology Graduate UniversityOnnaJapan
  4. 4.Nara Institute of Science and TechnologyIkomaJapan
  5. 5.Kyungpook National UniversityDaeguKorea (Republic of)
  6. 6.Chinese Academy of SciencesBeijingChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-46687-3
  • Copyright Information Springer International Publishing AG 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-46686-6
  • Online ISBN 978-3-319-46687-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349