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SCIENCE CHINA Information Sciences, Volume 63 , Issue 1 : 119204(2020) https://doi.org/10.1007/s11432-018-9535-9

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

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  • ReceivedMay 23, 2018
  • AcceptedJun 29, 2018
  • PublishedOct 8, 2019

Abstract

There is no abstract available for this article.


Acknowledgment

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).


References

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  • Figure 1

    (Color online) Handwriting recognition. Average recognition error rates obtained by $k$-nn classifier ($k=5$) for (a) USPS-eo, (b) USPS-sl, and (c) USPS-MNIST tasks.

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