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Intelligent Data Engineering and Automated Learning – IDEAL 2008

9th International Conference Daejeon, South Korea, November 2-5, 2008, Proceedings

  • Conference proceedings
  • © 2008

Overview

Editors:
  1. Colin Fyfe

    1. University of West Scotland, Paisley, Scotland

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  2. Dongsup Kim

    1. KAIST, Daejeon, Korea

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  3. Soo-Young Lee

    1. Brain Science Research Center and Department of Bio & Brain Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Korea

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  4. Hujun Yin

    1. School of Electrical and Electronic Engineering, University of Manchester, UK

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 5326)

Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)

Included in the following conference series:

Conference proceedings info: IDEAL 2008.

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Table of contents (66 papers)

  1. Front Matter

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  2. Learning and Information Processing

    1. Proposal of Exploitation-Oriented Learning PS-r#

      • Kazuteru Miyazaki, Shigenobu Kobayashi
      Pages 1-8

    2. Kernel Regression with a Mahalanobis Metric for Short-Term Traffic Flow Forecasting

      • Shiliang Sun, Qiaona Chen
      Pages 9-16

    3. Hybrid Weighted Distance Measures and Their Application to Pattern Recognition

      • Zeshui Xu
      Pages 17-23

    4. A Multitask Learning Approach to Face Recognition Based on Neural Networks

      • Feng Jin, Shiliang Sun
      Pages 24-31

    5. Logic Synthesis for FSMs Using Quantum Inspired Evolution

      • Marcos Paulo Mello Araujo, Nadia Nedjah, Luiza de Macedo Mourelle
      Pages 32-39

    6. A New Adaptive Strategy for Pruning and Adding Hidden Neurons during Training Artificial Neural Networks

      • Md. Monirul Islam, Md. Abdus Sattar, Md. Faijul Amin, Kazuyuki Murase
      Pages 40-48

    7. Using Kullback-Leibler Distance in Determining the Classes for the Heart Sound Signal Classification

      • Yong-Joo Chung
      Pages 49-56

    8. A Semi-fragile Watermark Scheme Based on the Logistic Chaos Sequence and Singular Value Decomposition

      • Jian Li, Bo Su, Shenghong Li, Shilin Wang, Danhong Yao
      Pages 57-64

    9. Distribution Feeder Load Balancing Using Support Vector Machines

      • J. A. Jordaan, M. W. Siti, A. A. Jimoh
      Pages 65-71

    10. Extracting Auto-Correlation Feature for License Plate Detection Based on AdaBoost

      • Hauchun Tan, Yafeng Deng, Hao Chen
      Pages 72-79

    11. Evolutionary Optimization of Union-Based Rule-Antecedent Fuzzy Neural Networks and Its Applications

      • Chang-Wook Han
      Pages 80-87

    12. Improving AdaBoost Based Face Detection Using Face-Color Preferable Selective Attention

      • Bumhwi Kim, Sang-Woo Ban, Minho Lee
      Pages 88-95

    13. Top-Down Object Color Biased Attention Using Growing Fuzzy Topology ART

      • Byungku Hwang, Sang-Woo Ban, Minho Lee
      Pages 96-103

    14. A Study on Human Gaze Estimation Using Screen Reflection

      • Nadeem Iqbal, Soo-Young Lee
      Pages 104-111

    15. A Novel GA-Taguchi-Based Feature Selection Method

      • Cheng-Hong Yang, Chi-Chun Huang, Kuo-Chuan Wu, Hsin-Yun Chang
      Pages 112-119

    16. Nonnegative Matrix Factorization (NMF) Based Supervised Feature Selection and Adaptation

      • Paresh Chandra Barman, Soo-Young Lee
      Pages 120-127

    17. Automatic Order of Data Points in RE Using Neural Networks

      • Xueming He, Chenggang Li, Yujin Hu, Rong Zhang, Simon X. Yang, Gauri S. Mittal
      Pages 128-139

    18. Orthogonal Nonnegative Matrix Factorization: Multiplicative Updates on Stiefel Manifolds

      • Jiho Yoo, Seungjin Choi
      Pages 140-147

    19. Feature Discovery by Enhancement and Relaxation of Competitive Units

      • Ryotaro Kamimura
      Pages 148-155
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  1. Intelligent Data Engineering and Automated Learning – IDEAL 2008

Keywords

About this book

IDEAL 2008 was the ninth IDEAL conference to take place; earlier editions were held in Hong Kong, the UK, Australia and Spain. This was the first time, though hopefully not the last time, that it took place in Daejeon, South Korea, during November 2–5, 2008. As the name suggests, the conference attracts researchers who are involved in either data engineering or learning or, increasingly, both. The former topic involves such aspects as data mining (or intelligent knowledge discovery from databases), infor- tion retrieval systems, data warehousing, speech/image/video processing, and mul- media data analysis. There has been a traditional strand of data engineering at IDEAL conferences which has been based on financial data management such as fraud det- tion, portfolio analysis, prediction and so on. This has more recently been joined by a strand devoted to bioinformatics, particularly neuroinformatics and gene expression analysis. Learning is the other major topic for these conferences and this is addressed by - searchers in artificial neural networks, machine learning, evolutionary algorithms, artificial immune systems, ant algorithms, probabilistic modelling, fuzzy systems and agent modelling. The core of all these algorithms is adaptation.

Editors and Affiliations

  • University of West Scotland, Paisley, Scotland

    Colin Fyfe

  • KAIST, Daejeon, Korea

    Dongsup Kim

  • Brain Science Research Center and Department of Bio & Brain Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Korea

    Soo-Young Lee

  • School of Electrical and Electronic Engineering, University of Manchester, UK

    Hujun Yin

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