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SCIENCE CHINA Information Sciences, Volume 63, Issue 2: 120111(2020) https://doi.org/10.1007/s11432-019-2722-3

Discriminative stacked autoencoder for feature representation and classification

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  • ReceivedAug 10, 2019
  • AcceptedNov 1, 2019
  • PublishedJan 14, 2020

Abstract

There is no abstract available for this article.


Acknowledgment

This work was supported in part by National Natural Science Foundation of China (Grant No. 51721092), Natural Science Foundation of Hubei Province (Grant No. 2018CFA078), and the Program for HUST Academic Frontier Youth Team (Grant No. 2017QYTD04).


References

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  • Figure 1

    (Color online) (a) The diagram of the proposed DSA. (b) The data visualization of the learned feature; the top shows the feature learned from the original SAE, and the bottom is the feature learned from the proposed DSA.

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