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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
    5. Zhenxiao Li, Liqing Zhang
      Pages 152-161
    6. Yen-Wei Chen, Katsumi Tsubokawa, Amir H. Foruzan
      Pages 162-169
    7. Guangyi Chen, Wei-ping Zhu, Balázs Kégl, Róbert Busa Fekete
      Pages 178-183
    8. Nguyen Thi Bich Huyen, Dong-Chul Park, Dong-Min Woo
      Pages 192-199
    9. LinLin Huang, Na Li
      Pages 208-213
    10. Bin Sun, Nong Sang, Yuehuan Wang, Qingqing Zheng
      Pages 214-221
    11. Zhengqiang Guan, Jun Peng, Shangzhu Jin
      Pages 222-229
    12. Haili Wang, Yuanhua Qiao, Lijuan Duan, Faming Fang, Jun Miao, Bingpeng Ma
      Pages 240-249
  4. Data Mining and Text Analysis

    1. Minzhang Huang, Hai Zhao, Bao-Liang Lu
      Pages 250-257
    2. Keith Douglas Stuart, Maciej Majewski, Ana Botella Trelis
      Pages 268-275
    3. Jiang Zhong, Xiongbing Deng, Jie Liu, Xue Li, Chuanwei Liang
      Pages 276-281
    4. Chun Shang, Yuexian Hou, Shuo Zhang, Zhaopeng Meng
      Pages 282-291
    5. Chung-Hong Lee, Hsin-Chang Yang, Shih-Hao Wang
      Pages 292-301
    6. Tomonari Masada, Daiji Fukagawa, Atsuhiro Takasu, Yuichiro Shibata, Kiyoshi Oguri
      Pages 302-311
    7. Lei Wang, Shui-cai Shi, Xue-qiang Lv, Yu-qin Li
      Pages 330-336
    8. Xinhai Liu, Lieven De Lathauwer, Frizo Janssens, Bart De Moor
      Pages 337-345
  5. BCI and Brain Imaging

    1. Qiwei Shi, Jianting Cao, Wei Zhou, Toshihisa Tanaka, Rubin Wang
      Pages 353-359
    2. Kan Hong, Liqing Zhang, Jie Li, Junhua Li
      Pages 360-367
    3. Bochuan Zheng, Zhang Yi
      Pages 378-384
    4. Fengyu Cong, Igor Kalyakin, Anh-Huy Phan, Andrzej Cichocki, Tiina Huttunen-Scott, Heikki Lyytinen et al.
      Pages 385-391
    5. Wenqi Mao, Yingjie Li, Yingying Tang, Hui Li, Jijun Wang
      Pages 392-399

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
  • Buy this book on publisher's site
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