K-Means Clustering Optimizing Deep Stacked Sparse Autoencoder-Reference-Cited by-同舟云学术

K-Means Clustering Optimizing Deep Stacked Sparse Autoencoder

Published:2019-02-10 Issue:1 Volume:20 Page:
ISSN:1557-2064
Container-title:Sensing and Imaging
language:en
Short-container-title:Sens Imaging

Author:

Bi Yandong,Wang Peng,Guo Xuchao,Wang Zhijun,Cheng Shuhan^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://link.springer.com/content/pdf/10.1007/s11220-019-0227-1.pdf

Reference25 articles.

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3. Bellinger, C., Drummond, C., & Japkowicz, N. (2017). Manifold-based synthetic oversampling with manifold conformance estimation. Machine Learning, 1, 1–33.

4. Chandra, B., & Sharma, R. K. (2014). Adaptive noise schedule for denoising autoencoder. In: International conference on neural information processing (pp. 535–542).

5. Cheng, X., Liu, H., Xu, X., & Sun, F. (2016). Denoising deep extreme learning machine for sparse representation. Memetic Computing, 9(3), 1–14.

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