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Neural Information Processing

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

  • Conference proceedings
  • © 2014

Overview

Editors:
  1. Chu Kiong Loo

    1. Department of Artificial Intelligence, Faculty of Computer Science and Information Technology Building, University of Malaya, Kuala Lumpur, Malaysia

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  2. Keem Siah Yap

    1. Department of Electronics and Communication Engineering, College of Engineering, Universiti Tenaga Nasional, Kajang, Malaysia

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  3. Kok Wai Wong

    1. School of Engineering and Information Technology, Murdoch University, Murdoch, Australia

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  4. Andrew Teoh

    1. Department of Electrical and Electronics Engineering, Yonsei University, Seoul, South Korea

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  5. Kaizhu Huang

    1. Department of Electrical and Electronic Engineering, Xi’an Jiaotong-Liverpool University, Suzhou, China

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

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Included in the following conference series:

Conference proceedings info: ICONIP 2014.

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Table of contents (71 papers)

  1. Front Matter

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  2. Kernel and Statistical Methods

    1. A New Ensemble Clustering Method Based on Dempster-Shafer Evidence Theory and Gaussian Mixture Modeling

      • Yi Wu, Xiabi Liu, Lunhao Guo
      Pages 1-8

    2. Extraction of Dimension Reduced Features from Empirical Kernel Vector

      • Takio Kurita, Yayoi Harashima
      Pages 9-16

    3. Method of Evolving Non-stationary Multiple Kernel Learning

      • Peng Wu, Qian Yin, Ping Guo
      Pages 17-25

    4. A Kernel Method to Extract Common Features Based on Mutual Information

      • Takamitsu Araki, Hideitsu Hino, Shotaro Akaho
      Pages 26-34

    5. Properties of Text-Prompted Multistep Speaker Verification Using Gibbs-Distribution-Based Extended Bayesian Inference for Rejecting Unregistered Speakers

      • Shuichi Kurogi, Takuya Ueki, Satoshi Takeguchi, Yuta Mizobe
      Pages 35-43

    6. Non-monotonic Feature Selection for Regression

      • Haiqin Yang, Zenglin Xu, Irwin King, Michael R. Lyu
      Pages 44-51

    7. Non-negative Matrix Factorization with Schatten p-norms Reguralization

      • Ievgen Redko, Younès Bennani
      Pages 52-59

    8. A New Energy Model for the Hidden Markov Random Fields

      • Jérémie Sublime, Antoine Cornuéjols, Younès Bennani
      Pages 60-67

    9. Online Nonlinear Granger Causality Detection by Quantized Kernel Least Mean Square

      • Hong Ji, Badong Chen, Zejian Yuan, Nanning Zheng, Andreas Keil, Jose C. Príncipe
      Pages 68-75

    10. A Computational Model of Anti-Bayesian Sensory Integration in the Size-Weight Illusion

      • Yuki Ueyama
      Pages 76-83

    11. Unsupervised Dimensionality Reduction for Gaussian Mixture Model

      • Xi Yang, Kaizhu Huang, Rui Zhang
      Pages 84-92

    12. Graph Kernels Exploiting Weisfeiler-Lehman Graph Isomorphism Test Extensions

      • Giovanni Da San Martino, Nicolò Navarin, Alessandro Sperduti
      Pages 93-100

    13. Texture Analysis Based Automated Decision Support System for Classification of Skin Cancer Using SA-SVM

      • Ammara Masood, Adel Al-Jumaily, Khairul Anam
      Pages 101-109

    14. In-attention State Monitoring for a Driver Based on Head Pose and Eye Blinking Detection Using One Class Support Vector Machine

      • Hyunrae Jo, Minho Lee
      Pages 110-117

    15. An Improved Separating Hyperplane Method with Application to Embedded Intelligent Devices

      • Yanjun Li, Ping Guo, Xin Xin
      Pages 118-125

    16. Fine-Grained Air Quality Monitoring Based on Gaussian Process Regression

      • Yun Cheng, Xiucheng Li, Zhijun Li, Shouxu Jiang, Xiaofan Jiang
      Pages 126-134

    17. Retrieval of Experiments by Efficient Comparison of Marginal Likelihoods

      • Sohan Seth, John Shawe-Taylor, Samuel Kaski
      Pages 135-142

  3. Evolutionary Computation and Hybrid Intelligent Systems

    1. A New Approach of Diversity Enhanced Particle Swarm Optimization with Neighborhood Search and Adaptive Mutation

      • Dang Cong Tran, Zhijian Wu, Hui Wang
      Pages 143-150

    2. Data Clustering Based on Particle Swarm Optimization with Neighborhood Search and Cauchy Mutation

      • Dang Cong Tran, Zhijian Wu
      Pages 151-159
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Other volumes

  1. Neural Information Processing

  2. Neural Information Processing

  3. Neural Information Processing

Keywords

About this book

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.

Editors and Affiliations

  • Department of Artificial Intelligence, Faculty of Computer Science and Information Technology Building, University of Malaya, Kuala Lumpur, Malaysia

    Chu Kiong Loo

  • Department of Electronics and Communication Engineering, College of Engineering, Universiti Tenaga Nasional, Kajang, Malaysia

    Keem Siah Yap

  • School of Engineering and Information Technology, Murdoch University, Murdoch, Australia

    Kok Wai Wong

  • Department of Electrical and Electronics Engineering, Yonsei University, Seoul, South Korea

    Andrew Teoh

  • Department of Electrical and Electronic Engineering, Xi’an Jiaotong-Liverpool University, Suzhou, China

    Kaizhu Huang

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