AE2-Nets: Autoencoder in Autoencoder Networks

Learning on data represented with multiple views (e.g., multiple types of descriptors or modalities) is a rapidly growing direction in machine learning and computer vision. Although effectiveness achieved, most existing algorithms usually focus on classification or clustering tasks. Differently, in...

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Vydané v:	Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) s. 2572 - 2580
Hlavní autori:	Zhang, Changqing, Liu, Yeqing, Fu, Huazhu
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.06.2019
Predmet:	Autoencoders Computer vision Data mining Data models Degradation Encoding Feature extraction Machine learning algorithms Neural networks Representation learning Statistical Learning
ISSN:	1063-6919
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