A CLOSER LOOK AT AUTOENCODERS FOR UNSUPERVISED ANOMALY DETECTION

Reference : A CLOSER LOOK AT AUTOENCODERS FOR UNSUPERVISED ANOMALY DETECTION


	Document type :	Scientific congresses, symposiums and conference proceedings : Poster
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/50073

Title :	A CLOSER LOOK AT AUTOENCODERS FOR UNSUPERVISED ANOMALY DETECTION
Language :	English
Author, co-author :	Oyedotun, Oyebade [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > CVI2 >]
	Aouada, Djamila [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > CVI2 >]
Publication date :	22-May-2022
Peer reviewed :	Yes
Audience :	International
Event name :	2022 IEEE International Conference on Acoustics, Speech, & Signal Processing (ICASSP)
Event date :	22-05-2022 to 27-05-2022
Keywords :	[en] Anomaly detection ; autoencoder ; variational autoencoder ; latent representations
Permalink :	http://hdl.handle.net/10993/50073
FnR project :	FnR ; FNR14755859 > Djamila Aouada > MEET-A > Multi-modal Fusion Of Electro-optical Sensors For Spacecraft Pose Estimation Towards Autonomous In-orbit Operations > 01/01/2021 > 31/12/2023 > 2020

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	File	Commentary	Version	Size	Access
Open access	ICASSP2022_Oyedotun_Aouada.pdf		Author postprint	663.4 kB	View/Open

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