Deep Spectral Clustering Using Dual Autoencoder Network

The clustering methods have recently absorbed even-increasing attention in learning and vision. Deep clustering combines embedding and clustering together to obtain optimal embedding subspace for clustering, which can be more effective compared with conventional clustering methods. In this paper, we...

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Vydané v:	Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) s. 4061 - 4070
Hlavní autori:	Yang, Xu, Deng, Cheng, Zheng, Feng, Yan, Junchi, Liu, Wei
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.06.2019
Predmet:	Autoencoders Benchmark testing Clustering methods Computer vision Estimation Mutual information Noise Noise measurement Representation Learning Statistical Learning
ISSN:	1063-6919
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