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  • Conference proceedings
  • © 2005

Advances in Neural Networks - ISNN 2005

Second International Symposium on Neural Networks, Chongqing, China, May 30 - June 1, 2005, Proceedings, Part II

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 3497)

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

Conference series link(s): ISNN: International Symposium on Neural Networks

Conference proceedings info: ISNN 2005.

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Table of contents (150 papers)

  1. Front Matter

  2. Pattern Analysis

    1. A New Approach for Classification: Visual Simulation Point of View

      • Zongben Xu, Deyu Meng, Wenfeng Jing
      Pages 1-7
    2. A Novel Classifier with the Immune-Training Based Wavelet Neural Network

      • Lei Wang, Yinling Nie, Weike Nie, Licheng Jiao
      Pages 8-13
    3. Fisher Subspace Tree Classifier Based on Neural Networks

      • Dongyue Chen, Xiaodan Lu, Liming Zhang
      Pages 14-19
    4. An Improved Optimal Pairwise Coupling Classifier

      • Roger Xu, Tao Qian, Chiman Kwan
      Pages 32-38
    5. Principle for Outputs of Hidden Neurons in CC4 Network

      • Zhenya Zhang, Shuguang Zhang, Xufa Wang, Shuangping Chen, Hongmei Cheng
      Pages 45-50
    6. Chunk Incremental LDA Computing on Data Streams

      • Shaoning Pang, Seiichi Ozawa, Nikola Kasabov
      Pages 51-56
    7. A Novel Clustering Method Based on SVM

      • Jie Li, Xinbo Gao, Licheng Jiao
      Pages 57-62
    8. Clustering High-Dimensional Data Using Growing SOM

      • Junlin Zhou, Yan Fu
      Pages 63-68
    9. A Novel Clustering Algorithm Based upon a SOFM Neural Network Family

      • Junhao Wen, Kaiwen Meng, Hongyan Wu, Zhongfu Wu
      Pages 69-74
    10. Advanced Visualization Techniques for Self-organizing Maps with Graph-Based Methods

      • Georg Pölzlbauer, Andreas Rauber, Michael Dittenbach
      Pages 75-80
    11. Selection of Optimal Features for Iris Recognition

      • Hongying Gu, Zhiwen Gao, Fei Wu
      Pages 81-86
    12. Application of Multi-weighted Neuron for Iris Recognition

      • Wenming Cao, Jianhui Hu, Gang Xiao, Shoujue Wang
      Pages 87-92
    13. Robust Precise Eye Location by Adaboost and SVM Techniques

      • Xusheng Tang, Zongying Ou, Tieming Su, Haibo Sun, Pengfei Zhao
      Pages 93-98
    14. Classification-Based Face Detection Using Compound Features

      • Linlin Huang, Akinobu Shimizu, Hidefumi Kobatake
      Pages 99-104
    15. Face Recognition Using Fisher Non-negative Matrix Factorization with Sparseness Constraints

      • Xiaorong Pu, Zhang Yi, Ziming Zheng, Wei Zhou, Mao Ye
      Pages 112-117

About this book

This book and its sister volumes constitute the proceedings of the 2nd International Symposium on Neural Networks (ISNN 2005). ISNN 2005 was held in the beautiful mountain city Chongqing by the upper Yangtze River in southwestern China during May 30–June 1, 2005, as a sequel of ISNN 2004 successfully held in Dalian, China. ISNN emerged as a leading conference on neural computation in the region with - creasing global recognition and impact. ISNN 2005 received 1425 submissions from authors on ?ve continents (Asia, Europe, North America, South America, and Oc- nia), 33 countries and regions (Mainland China, Hong Kong, Macao, Taiwan, South Korea, Japan, Singapore, Thailand, India, Nepal, Iran, Qatar, United Arab Emirates, Turkey, Lithuania, Hungary, Poland, Austria, Switzerland, Germany, France, Sweden, Norway, Spain, Portugal, UK, USA, Canada, Venezuela, Brazil, Chile, Australia, and New Zealand). Based on rigorous reviews, 483 high-quality papers were selected by the Program Committee for presentation at ISNN 2005 and publication in the proce- ings, with an acceptance rate of less than 34%. In addition to the numerous contributed papers, 10 distinguished scholars were invited to give plenary speeches and tutorials at ISNN 2005.

Keywords

  • artificial neural networks
  • biomedical applications
  • component analysis
  • data analysis
  • evolutionary computing
  • image analysis
  • natural computing
  • neural computing
  • neural control
  • neural information processing
  • neural learning
  • neural networks
  • neural op
  • algorithm analysis and problem complexity

Editors and Affiliations

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

    Jun Wang

  • The Key Laboratory of Optoelectric Technology & Systems, Ministry of Education, China

    Xiao-Feng Liao

  • Computational Intelligence Laboratory, School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, P.R. China

    Zhang Yi

Bibliographic Information

Buying options

eBook USD 84.99
Price excludes VAT (Canada)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (Canada)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions