Representation learning via a semi-supervised stacked distance autoencoder for image classification

Image classification is an important application of deep learning. In a typical classification task, the classification accuracy is strongly related to the features that are extracted via deep learning methods. An autoencoder is a special type of neural network, often used for dimensionality reducti...

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Veröffentlicht in:Frontiers of information technology & electronic engineering Jg. 21; H. 7; S. 1005 - 1018
Hauptverfasser: Hou, Liang, Luo, Xiao-yi, Wang, Zi-yang, Liang, Jun
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Hangzhou Zhejiang University Press 01.07.2020
Springer Nature B.V
College of Control Science and Engineering, Zhejiang University, Hangzhou 310027, China
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ISSN:2095-9184, 2095-9230
Online-Zugang:Volltext
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