Advances in Neural Networks - ISNN 2010

7th International Symposium on Neural Networks, ISNN 2010, Shanghai, China, June 6-9, 2010, Proceedings, Part II

  • Liqing Zhang
  • Bao-Liang Lu
  • James Kwok

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6064)

Table of contents

  1. Front Matter
  2. SVM and Kernel Methods

    1. Guosheng Hu, Liang Hu, Jing Song, Pengchao Li, Xilong Che, Hongwei Li
      Pages 1-8
    2. Zhen Yan, Xinyu Chen, Ping Guo
      Pages 17-24
    3. Jianwu Li, Yao Lu
      Pages 25-32
    4. Wei-Chen Cheng, Cheng-Yuan Liou
      Pages 75-82
  3. Vision and Image

    1. Dongyue Chen, Peng Han, Chengdong Wu
      Pages 90-96
    2. Wei Zhang, Jian Yao, Wai-Kuen Cham
      Pages 97-103
    3. Li Shang, Wenjun Huai, Guiping Dai, Jie Chen, Jixiang Du
      Pages 112-119
    4. Chengdong Lan, Ruimin Hu, Tao Lu, Ding Luo, Zhen Han
      Pages 120-127

Other volumes

  1. 7th International Symposium on Neural Networks, ISNN 2010, Shanghai, China, June 6-9, 2010, Proceedings, Part I
  2. Advances in Neural Networks - ISNN 2010
    7th International Symposium on Neural Networks, ISNN 2010, Shanghai, China, June 6-9, 2010, Proceedings, Part II

About these proceedings

Introduction

This book and its sister volume collect refereed papers presented at the 7th Inter- tional Symposium on Neural Networks (ISNN 2010), held in Shanghai, China, June 6-9, 2010. Building on the success of the previous six successive ISNN symposiums, ISNN has become a well-established series of popular and high-quality conferences on neural computation and its applications. ISNN aims at providing a platform for scientists, researchers, engineers, as well as students to gather together to present and discuss the latest progresses in neural networks, and applications in diverse areas. Nowadays, the field of neural networks has been fostered far beyond the traditional artificial neural networks. This year, ISNN 2010 received 591 submissions from more than 40 countries and regions. Based on rigorous reviews, 170 papers were selected for publication in the proceedings. The papers collected in the proceedings cover a broad spectrum of fields, ranging from neurophysiological experiments, neural modeling to extensions and applications of neural networks. We have organized the papers into two volumes based on their topics. The first volume, entitled “Advances in Neural Networks- ISNN 2010, Part 1,” covers the following topics: neurophysiological foundation, theory and models, learning and inference, neurodynamics. The second volume en- tled “Advance in Neural Networks ISNN 2010, Part 2” covers the following five topics: SVM and kernel methods, vision and image, data mining and text analysis, BCI and brain imaging, and applications.

Keywords

Hidden Markov Model Markov Model Support Vector Machine agent-based modeling algorithms artificial neural netwoks biomedical applications brain imaging classification component analysis evolutionary computing image analysis signal processing video processing visualization

Editors and affiliations

  • Liqing Zhang
    • 1
  • Bao-Liang Lu
    • 1
  • James Kwok
    • 2
  1. 1.Department of Computer Science and EngineeringShanghai Jiao Tong UniversityShanghaiChina
  2. 2.Department of Computer Science and EngineeringThe Hong Kong University of Science and Technology, Clear Water bay, KowloonHong KongChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-13318-3
  • Copyright Information Springer-Verlag Berlin Heidelberg 2010
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-13317-6
  • Online ISBN 978-3-642-13318-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book