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Neural Information Processing

13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006, Proceedings, Part III

  • Conference proceedings
  • © 2006

Overview

Editors:
  1. Irwin King

    1. Dept. of Computer Science and Engineering, The Chinese Univ. of Hong Kong, Shatin, N.T., Hong Kong

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  2. Jun Wang

    1. Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong, China

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  3. Lai-Wan Chan

    1. The Chinese University of Hong Kong, Shatin, N.T., Hong Kong

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    You can also search for this editor in PubMed   Google Scholar

  4. DeLiang Wang

    1. Department of Computer Science and Engineering & Center for Cognitive Science, The Ohio State University, Columbus

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 4234)

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

Included in the following conference series:

Conference proceedings info: ICONIP 2006.

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Table of contents (133 papers)

  1. Front Matter

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  2. Bioinformatics and Biomedical Applications

    1. DRFE: Dynamic Recursive Feature Elimination for Gene Identification Based on Random Forest

      • Ha-Nam Nguyen, Syng-Yup Ohn
      Pages 1-10

    2. Gene Feature Extraction Using T-Test Statistics and Kernel Partial Least Squares

      • Shutao Li, Chen Liao, James T. Kwok
      Pages 11-20

    3. An Empirical Analysis of Under-Sampling Techniques to Balance a Protein Structural Class Dataset

      • Marcilio C. P. de Souto, Valnaide G. Bittencourt, Jose A. F. Costa
      Pages 21-29

    4. Prediction of Protein Interaction with Neural Network-Based Feature Association Rule Mining

      • Jae-Hong Eom, Byoung-Tak Zhang
      Pages 30-39

    5. Prediction of Protein Secondary Structure Using Nonlinear Method

      • Silvia Botelho, Gisele Simas, Patricia Silveira
      Pages 40-47

    6. Clustering Analysis for Bacillus Genus Using Fourier Transform and Self-Organizing Map

      • Cheng-Chang Jeng, I-Ching Yang, Kun-Lin Hsieh, Chun-Nan Lin
      Pages 48-57

    7. Recurrence Quantification Analysis of EEG Predicts Responses to Incision During Anesthesia

      • Liyu Huang, Weirong Wang, Sekou Singare
      Pages 58-65

    8. Wavelet Spectral Entropy for Indication of Epileptic Seizure in Extracranial EEG

      • Xiaoli Li
      Pages 66-73

    9. The Study of Classification of Motor Imaginaries Based on Kurtosis of EEG

      • Xiaopei Wu, Zhongfu Ye
      Pages 74-81

    10. Automatic Detection of Critical Epochs in coma-EEG Using Independent Component Analysis and Higher Order Statistics

      • G. Inuso, F. La Foresta, N. Mammone, F. C. Morabito
      Pages 82-91

    11. Sparse Bump Sonification: A New Tool for Multichannel EEG Diagnosis of Mental Disorders; Application to the Detection of the Early Stage of Alzheimer’s Disease

      • François B. Vialatte, Andrzej Cichocki
      Pages 92-101

    12. Effect of Diffusion Weighting and Number of Sensitizing Directions on Fiber Tracking in DTI

      • Bo Zheng, Jagath C. Rajapakse
      Pages 102-109

    13. 3-D Reconstruction of Blood Vessels Skeleton Based on Neural Network

      • Zhiguo Cao, Bo Peng
      Pages 110-117

    14. Design of a Fuzzy Takagi-Sugeno Controller to Vary the Joint Knee Angle of Paraplegic Patients

      • Marcelo C. M. Teixeira, Grace S. Deaecto, Ruberlei Gaino, Edvaldo Assunção, Aparecido A. Carvalho, Uender C. Farias
      Pages 118-126

    15. Characterization of Breast Abnormality Patterns in Digital Mammograms Using Auto-associator Neural Network

      • Rinku Panchal, Brijesh Verma
      Pages 127-136

    16. Evolving Hierarchical RBF Neural Networks for Breast Cancer Detection

      • Yuehui Chen, Yan Wang, Bo Yang
      Pages 137-144

    17. Ovarian Cancer Prognosis by Hemostasis and Complementary Learning

      • T. Z. Tan, G. S. Ng, C. Quek, Stephen C. L. Koh
      Pages 145-154

    18. Multi-class Cancer Classification with OVR-Support Vector Machines Selected by Naïve Bayes Classifier

      • Jin-Hyuk Hong, Sung-Bae Cho
      Pages 155-164

    19. Breast Cancer Diagnosis Using Neural-Based Linear Fusion Strategies

      • Yunfeng Wu, Cong Wang, S. C. Ng, Anant Madabhushi, Yixin Zhong
      Pages 165-175
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Other volumes

  1. Neural Information Processing

  2. Neural Information Processing

  3. Neural Information Processing

Keywords

Editors and Affiliations

  • Dept. of Computer Science and Engineering, The Chinese Univ. of Hong Kong, Shatin, N.T., Hong Kong

    Irwin King

  • Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong, China

    Jun Wang

  • The Chinese University of Hong Kong, Shatin, N.T., Hong Kong

    Lai-Wan Chan

  • Department of Computer Science and Engineering & Center for Cognitive Science, The Ohio State University, Columbus

    DeLiang Wang

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