Pattern Recognition

6th Chinese Conference, CCPR 2014, Changsha, China, November 17-19, 2014. Proceedings, Part I

  • Shutao Li
  • Chenglin Liu
  • Yaonan Wang

Part of the Communications in Computer and Information Science book series (CCIS, volume 483)

Table of contents

  1. Front Matter
  2. Section I: Fundamentals of Pattern Recognition

    1. XiaoLong Liu, YanMing Zhang, ChengLin Liu
      Pages 1-10
    2. Zhen Hu, Wenzheng Hu, Changshui Zhang
      Pages 11-20
    3. Yanchun Gu, Defeng Zhang, Zhengming Ma, Guo Niu
      Pages 31-43
    4. Liwu Xiao, Qianlong Zhu, Canbing Li, Yijia Cao, Yi Tan, Lijuan Li
      Pages 44-53
    5. Qianhui Gong, Wenjun Lu, Wenlong Gong, Xueting Wang
      Pages 63-71
    6. Fangrong Wu, Minfang Peng, Mingjun Qi, Liang Zhu, Hua Leng, Yi Su et al.
      Pages 91-100
    7. Peiyan Wang, Cai Dongfeng
      Pages 101-110
    8. Jin Zhou, Shiliang Sun
      Pages 120-129
  3. Section II: Feature Extraction and Classification

    1. Lei Luo, Jian Yang, Jinhui Chen, Yicheng Gao
      Pages 140-150
    2. Yu Tang, Zhigang Ling, Jiancheng Li, Lu Bai
      Pages 168-182
    3. Weining Wang, Jiancong Liu, Weijian Zhao, Jiachang Li
      Pages 183-195

Other volumes

  1. Pattern Recognition
    6th Chinese Conference, CCPR 2014, Changsha, China, November 17-19, 2014. Proceedings, Part I
  2. 6th Chinese Conference, CCPR 2014, Changsha, China, November 17-19, 2014. Proceedings, Part II

About these proceedings

Introduction

The two-volume set CCIS 483 and CCIS 484 constitutes the refereed proceedings of the 6th Chinese Conference on Pattern Recognition, CCPR 2014, held in Changsha, China, in November 2014. The 112 revised full papers presented in two volumes were carefully reviewed and selected from 225 submissions. The papers are organized in topical sections on fundamentals of pattern recognition; feature extraction and classification; computer vision; image processing and analysis; video processing and analysis; biometric and action recognition; biomedical image analysis; document and speech analysis; pattern recognition applications.

Keywords

SVM computer vision face recognition feature extraction image classification image fusion image processing and analysis machine learning multimedia processing and analysis neural network object detection and tracking particle swarm pattern recognition ranking sparse coding

Editors and affiliations

  • Shutao Li
    • 1
  • Chenglin Liu
    • 2
  • Yaonan Wang
    • 3
  1. 1.College of Electrical and Information EngineeringHunan UniversityChangshaP.R. China
  2. 2.Chinese Academy of SciencesBeijingChina
  3. 3.College of electrical and information engineeringHunan UniversityChangshaP.R. China

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-662-45646-0
  • Copyright Information Springer-Verlag Berlin Heidelberg 2014
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-662-45645-3
  • Online ISBN 978-3-662-45646-0
  • Series Print ISSN 1865-0929
  • Series Online ISSN 1865-0937
  • About this book
Industry Sectors
Biotechnology
Electronics
Telecommunications
Energy, Utilities & Environment
Aerospace