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Multiview Correlation Feature Learning with Multiple Kernels

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Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques (IScIDE 2015)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9243))

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Abstract

Recent researches have shown the necessity to consider multiple kernels rather than a single fixed kernel in real-world applications. The learning performance can be significantly improved if multiple kernel functions or kernel matrices are considered. Motivated by the recent progress, in this paper we present a multiple kernel multiview correlation feature learning method for multiview dimensionality reduction. In our proposed method, the input data of each view are mapped into multiple higher dimensional feature spaces by implicitly nonlinear mappings. Three experiments on face and handwritten digit recognition have demonstrated the effectiveness of the proposed method.

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Notes

  1. 1.

    http://www.cl.cam.ac.uk/research/dtg/attarchive/facedatabase.html.

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Acknowledgments

This work is supported by the National Science Foundation of China under Grant Nos. 61402203, 61273251, and 61305017, and the Fundamental Research Funds for the Central Universities under Grant No. JUSRP11458.

Author information

Authors and Affiliations

  1. Department of Computer Science and Technology, Jiangnan University, Wuxi, China

    Yun-Hao Yuan, Zhi-Yong Xiao, Jin-Long Yang & Hong-Wei Ge

  2. Key Laboratory of Advanced Process Control for Light Industry of Ministry of Education, School of IoT Engineering, Jiangnan University, Wuxi, China

    Yun-Hao Yuan

  3. School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China

    Xiao-Bo Shen & Quan-Sen Sun

  4. School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Australia

    Xiao-Bo Shen

Authors
  1. Yun-Hao Yuan
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  2. Xiao-Bo Shen
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  3. Zhi-Yong Xiao
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  4. Jin-Long Yang
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  5. Hong-Wei Ge
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  6. Quan-Sen Sun
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Corresponding author

Correspondence to Yun-Hao Yuan .

Editor information

Editors and Affiliations

  1. Zhejiang University, Hangzhou, China

    Xiaofei He

  2. Xidian University, Xi'an, China

    Xinbo Gao

  3. Northwestern Polytechnical University, Xi'an, China

    Yanning Zhang

  4. Nanjing University, Nanjing, China

    Zhi-Hua Zhou

  5. Chinese Academy of Sciences, Beijing, China

    Zhi-Yong Liu

  6. Suzhou University of Science and Technology, Suzhou, China

    Baochuan Fu

  7. Suzhou University of Science and Technology, Jiangsu, China

    Fuyuan Hu

  8. Suzhou University of Science and Technology, Jiangsu, China

    Zhancheng Zhang

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Yuan, YH., Shen, XB., Xiao, ZY., Yang, JL., Ge, HW., Sun, QS. (2015). Multiview Correlation Feature Learning with Multiple Kernels. In: He, X., et al. Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques. IScIDE 2015. Lecture Notes in Computer Science(), vol 9243. Springer, Cham. https://doi.org/10.1007/978-3-319-23862-3_51

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  • DOI: https://doi.org/10.1007/978-3-319-23862-3_51

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23861-6

  • Online ISBN: 978-3-319-23862-3

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