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Pattern Recognition

Chinese Conference, CCPR 2012, Beijing, China, September 24-26, 2012. Proceedings

  • Conference proceedings
  • © 2012

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Editors:
  1. Cheng-Lin Liu

    1. Institute of Automation, National Laboratory of Pattern Recognition, Chinese Academy of Sciences, Beijing, China

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  2. Changshui Zhang

    1. Department of Automation, Tsinghua University, Beijing, China

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  3. Liang Wang

    1. Institute of Automation, National Laboratory of Pattern Recognition, Chinese Academy of Sciences, Beijing, China

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 321)

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Conference proceedings info: CCPR 2012.

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Table of contents (82 papers)

  1. Front Matter

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  2. Section I: Pattern Recognition Theory

    1. Enhanced Iterative Projection for Subclass Analysis under EM Framework

      • Yuting Tao, Jian Yang
      Pages 1-8

    2. Efficient Group Learning with Hypergraph Partition in Multi-task Learning

      • Quanming Yao, Xiubao Jiang, Mingming Gong, Xinge You, Yu Liu, Duanquan Xu
      Pages 9-16

    3. Grassmannian Manifolds Discriminant Analysis Based on Low-Rank Representation for Image Set Matching

      • Xuan Lv, Gang Chen, Zhicheng Wang, Yufei Chen, Weidong Zhao
      Pages 17-24

    4. Neighborhood Structure Preserving Ridge Regression for Dimensionality Reduction

      • Xin Shu, Hongtao Lu
      Pages 25-32

    5. Qualitative Graphical Inference with Enhanced Knowledge Fusion

      • Zehua Zhang, Duoqian Miao, Jin Qian, Lei Wang
      Pages 33-40

    6. Random Walk Classifier Framework on Graph

      • Xiaohua Xu, Lin Lu, Ping He, Zhoujin Pan, Ling Chen
      Pages 41-47

    7. Multiple Kernel Sparse Representation Based Classification

      • Hao Zheng, Fan Liu, Zhong Jin
      Pages 48-55

    8. Sparsity Preserving Canonical Correlation Analysis

      • Chen Zu, Daoqiang Zhang
      Pages 56-63

    9. Determining Reservoir Topologies from Short-Term Memory in Echo State Networks

      • Qianli Ma, Weibiao Chen
      Pages 64-71

    10. Constructing Class Hierarchy via Adaptive Kernel Learning

      • Yanting Lu, Jianfeng Lu, Liantao Wang, Jingyu Yang
      Pages 72-79

    11. Iterative Laplacian Score for Feature Selection

      • Linling Zhu, Linsong Miao, Daoqiang Zhang
      Pages 80-87

    12. Robust Sparse PCA via Weighted Elastic Net

      • Ling Wang, Hong Cheng
      Pages 88-95

    13. An Improved Self-organization Antibody Network for Pattern Recognition and Its Performance Study

      • Jinsha Yuan, Liwei Zhang, Cuiran Zhao, Zhong Li, Yinghui Zhang
      Pages 96-103

  3. Section II: Computer Vision

    1. Learning the Three Factors of a Non-overlapping Multi-camera Network Topology

      • Xiaotang Chen, Kaiqi Huang, Tieniu Tan
      Pages 104-112

    2. Efficient Stereo Matching by Local Linear Filtering and Improved Dynamic Programming

      • Fang Zhou, Jianhua Li, Shuping Zhao
      Pages 113-120

    3. Adaptive Vector Flow for Active Contour Model

      • Qi Zhang, Lixiong Liu, Bao Liu
      Pages 121-128

    4. Fast Action Detection with One Query Example Based on Hough Voting

      • Lishen Pei, Mao Ye
      Pages 129-136

    5. Violence Video Detection by Discriminative Slow Feature Analysis

      • Kaiye Wang, Zhang Zhang, Liang Wang
      Pages 137-144

    6. A Coutour Detection Model Based on Surround Inhibition with Multiple Cues

      • Kaifu Yang, Yongjie Li
      Pages 145-152
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  1. Pattern Recognition

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About this book

This book constitutes the refereed proceedings of the Chinese Conference on Pattern Recognition, CCPR 2012, held in Beijing, China, in September 2012. The 82 revised full papers presented were carefully reviewed and selected from 137 submissions. The papers are organized in topical sections on pattern recognition theory; computer vision; biometric recognition; medical imaging; image and video analysis; document analysis; speech processing; natural language processing and information retrieval.

Editors and Affiliations

  • Institute of Automation, National Laboratory of Pattern Recognition, Chinese Academy of Sciences, Beijing, China

    Cheng-Lin Liu, Liang Wang

  • Department of Automation, Tsinghua University, Beijing, China

    Changshui Zhang

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