Advances in Neural Networks – ISNN 2011

8th International Symposium on Neural Networks, ISNN 2011, Guilin, China, May 29–June 1, 2011, Proceedings, Part II

  • Derong Liu
  • Huaguang Zhang
  • Marios Polycarpou
  • Cesare Alippi
  • Haibo He
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6676)

Table of contents

  1. Front Matter
  2. Supervised Learning and Unsupervised Learning

  3. Kernel Methods and Support Vector Machines

    1. Qiuye Sun, Zhongxu Li, Jianguo Zhou, Xue Liang
      Pages 66-75
    2. Rongqing Huang, Shiliang Sun, Yan Liu
      Pages 76-84
    3. Nguyen Thi Thanh Thuy, Nguyen Thi Ngoc Vinh, Ngo Anh Vien
      Pages 94-102
    4. Lei Yang, Wei-Min Ma, Bo Tian
      Pages 103-112
    5. Huiyan Jiang, Xiangying Liu, Lingbo Zhou, Hiroshi Fujita, Xiangrong Zhou
      Pages 121-129
  4. Mixture Models and Clustering

    1. Chonglun Fang, Jinwen Ma
      Pages 136-143
    2. Hamid Parvin, Behrouz Minaei, Hosein Alizadeh, Akram Beigi
      Pages 144-150
    3. Ya Gao, Shiliang Sun, Dongyu Shi
      Pages 151-158
    4. Min-quan Zhao, Qing-wei Liang, Shanshan Jiang, Ping Chen
      Pages 159-164

Other volumes

  1. 8th International Symposium on Neural Networks, ISNN 2011, Guilin, China, May 29–June 1, 2011, Proceedings, Part I
  2. Advances in Neural Networks – ISNN 2011
    8th International Symposium on Neural Networks, ISNN 2011, Guilin, China, May 29–June 1, 2011, Proceedings, Part II
  3. 8th International Symposium on Neural Networks, ISNN 2011, Guilin, China, May 29–June 1, 2011, Proceedings, Part III

About these proceedings

Introduction

The three-volume set LNCS 6675, 6676 and 6677 constitutes the refereed proceedings of the 8th International Symposium on Neural Networks, ISNN 2011, held in Guilin, China, in May/June 2011.
The total of 215 papers presented in all three volumes were carefully reviewed and selected from 651 submissions. The contributions are structured in topical sections on computational neuroscience and cognitive science; neurodynamics and complex systems; stability and convergence analysis; neural network models; supervised learning and unsupervised learning; kernel methods and support vector machines; mixture models and clustering; visual perception and pattern recognition; motion, tracking and object recognition; natural scene analysis and speech recognition; neuromorphic hardware, fuzzy neural networks and robotics; multi-agent systems and adaptive dynamic programming; reinforcement learning and decision making; action and motor control; adaptive and hybrid intelligent systems; neuroinformatics and bioinformatics; information retrieval; data mining and knowledge discovery; and natural language processing.

Keywords

computer vision image enhancement multi-class classification multi-objective optimization semantic Web

Editors and affiliations

  • Derong Liu
    • 1
  • Huaguang Zhang
    • 2
  • Marios Polycarpou
    • 3
  • Cesare Alippi
    • 4
  • Haibo He
    • 5
  1. 1.Institute of Automation, Key Laboratory of Complex Systems and Intelligence ScienceChinese Academy of SciencesBeijingChina
  2. 2.College of Information Science and EngineeringNortheastern UniversityShenyang, LiaoingChina
  3. 3.Department of Electrical and Computer EngineeringUniversity of CyprusNicosiaCyprus
  4. 4.Dipartimento di ElettronicaPolitecnico di MilanoMilanoItaly
  5. 5.Deptartment of Electrical, Computer and Biomedical EngineeringUniversity of Rhode IslandKingstonUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-21090-7
  • Copyright Information Springer Berlin Heidelberg 2011
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-21089-1
  • Online ISBN 978-3-642-21090-7
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349