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Kernel semi-supervised graph embedding model for multimodal and mixmodal data

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References

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Acknowledgements

This work was supported by National Natural Science Foundation of China (Grant Nos. 61673027, 61503375) and Fundamental Research Funds for the Central Universities (Grant Nos. CXTD10-05, 18QD18 in UIBE, DUT19LK18).

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Authors and Affiliations

  1. School of Information Technology & Management, University of International Business & Economics, Beijing, 100029, China

    Qi Zhang

  2. School of Mathematical Sciences, Dalian University of Technology, Dalian, 116024, China

    Rui Li

  3. State Key Laboratory for Turbulence and Complex Systems, College of Engineering, Peking University, Beijing, 100871, China

    Tianguang Chu

  4. Key Laboratory of Machine Perception (Ministry of Education), Peking University, Beijing, 100871, China

    Qi Zhang

Authors
  1. Qi Zhang
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  2. Rui Li
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  3. Tianguang Chu
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Correspondence to Tianguang Chu.

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Zhang, Q., Li, R. & Chu, T. Kernel semi-supervised graph embedding model for multimodal and mixmodal data. Sci. China Inf. Sci. 63, 119204 (2020). https://doi.org/10.1007/s11432-018-9535-9

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  • DOI: https://doi.org/10.1007/s11432-018-9535-9

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