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Optimization of Training Samples with Affinity Propagation Algorithm for Multi-class SVM Classification

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Advances in Neural Networks - ISNN 2010 (ISNN 2010)

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Author information

Authors and Affiliations

  1. Image Processing and Pattern Recognition Laboratory, Beijing Normal University, Beijing, 100875, China

    Guangjun Lv, Qian Yin, Bingxin Xu & Ping Guo

Authors
  1. Guangjun Lv
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  2. Qian Yin
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  3. Bingxin Xu
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  4. Ping Guo
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Shanghai Jiao Tong University, 800, Dongchuan Road, 200240, Shanghai, China

    Liqing Zhang  & Bao-Liang Lu  & 

  2. Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Clear Water bay, Kowloon, Hong Kong, China

    James Kwok

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© 2010 Springer-Verlag Berlin Heidelberg

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Lv, G., Yin, Q., Xu, B., Guo, P. (2010). Optimization of Training Samples with Affinity Propagation Algorithm for Multi-class SVM Classification. In: Zhang, L., Lu, BL., Kwok, J. (eds) Advances in Neural Networks - ISNN 2010. ISNN 2010. Lecture Notes in Computer Science, vol 6064. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13318-3_5

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  • DOI: https://doi.org/10.1007/978-3-642-13318-3_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13317-6

  • Online ISBN: 978-3-642-13318-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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