Neural Information Processing

21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings, Part II

  • Chu Kiong Loo
  • Keem Siah Yap
  • Kok Wai Wong
  • Andrew Teoh
  • Kaizhu Huang

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8835)

Table of contents

  1. Front Matter
  2. Kernel and Statistical Methods

    1. Peng Wu, Qian Yin, Ping Guo
      Pages 17-25
    2. Takamitsu Araki, Hideitsu Hino, Shotaro Akaho
      Pages 26-34
    3. Haiqin Yang, Zenglin Xu, Irwin King, Michael R. Lyu
      Pages 44-51
    4. Jérémie Sublime, Antoine Cornuéjols, Younès Bennani
      Pages 60-67
    5. Hong Ji, Badong Chen, Zejian Yuan, Nanning Zheng, Andreas Keil, Jose C. Príncipe
      Pages 68-75
    6. Xi Yang, Kaizhu Huang, Rui Zhang
      Pages 84-92
    7. Giovanni Da San Martino, Nicolò Navarin, Alessandro Sperduti
      Pages 93-100
    8. Yun Cheng, Xiucheng Li, Zhijun Li, Shouxu Jiang, Xiaofan Jiang
      Pages 126-134
    9. Sohan Seth, John Shawe-Taylor, Samuel Kaski
      Pages 135-142
  3. Evolutionary Computation and Hybrid Intelligent Systems

Other volumes

  1. 21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings, Part I
  2. Neural Information Processing
    21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings, Part II
  3. 21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings, Part III

About these proceedings

Introduction

The three volume set LNCS 8834, LNCS 8835, and LNCS 8836 constitutes the proceedings of the 20th International Conference on Neural Information Processing, ICONIP 2014, held in Kuching, Malaysia, in November 2014.
The 231 full papers presented were carefully reviewed and selected from 375 submissions. The selected papers cover major topics of theoretical research, empirical study, and applications of neural information processing research. The 3 volumes represent topical sections containing articles on cognitive science, neural networks and learning systems, theory and design, applications, kernel and statistical methods, evolutionary computation and hybrid intelligent systems, signal and image processing, and special sessions intelligent systems for supporting decision, making processes,theories and applications, cognitive robotics, and learning systems for social network and web mining.

Keywords

activity recognition artificial intelligence big data bio-inspired computing brain-computer interface cellular automaton cloud computing clustering and classification decision support systems digital signal processing image processing kernel method knowledge extraction machine learning machine learning theory multi agent system neural networks ontology particle swarm optimization pattern recognition recommender systems regression analysis reinforcement learning robotics social network support vector machines time series tracking unsupervised learning virtual machine web mining wikipedia

Editors and affiliations

  • Chu Kiong Loo
    • 1
  • Keem Siah Yap
    • 2
  • Kok Wai Wong
    • 3
  • Andrew Teoh
    • 4
  • Kaizhu Huang
    • 5
  1. 1.Department of Artificial Intelligence, Faculty of Computer Science and Information Technology BuildingUniversity of MalayaKuala LumpurMalaysia
  2. 2.Department of Electronics and Communication Engineering, College of EngineeringUniversiti Tenaga NasionalKajangMalaysia
  3. 3.School of Engineering and Information TechnologyMurdoch UniversityMurdochAustralia
  4. 4.Department of Electrical and Electronics EngineeringYonsei UniversitySeoulSouth Korea
  5. 5.Department of Electrical and Electronic EngineeringXi’an Jiaotong-Liverpool UniversitySuzhouChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-12640-1
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-12639-5
  • Online ISBN 978-3-319-12640-1
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book
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