Deep network compression with teacher latent subspace learning and LASSO

Reference : Deep network compression with teacher latent subspace learning and LASSO


	Document type :	Scientific journals : Article
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/44461

Title :	Deep network compression with teacher latent subspace learning and LASSO
Language :	English
Author, co-author :	Oyedotun, Oyebade [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > CVI2 >]
	Shabayek, Abd El Rahman [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 >]
	Ottersten, Björn [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Publication date :	Sep-2020
Journal title :	Applied Intelligence
Publisher :	Kluwer Academic Publishers
Peer reviewed :	Yes (verified by ORBi^lu)
ISSN :	0924-669X
e-ISSN :	1573-7497
Country :	Netherlands
Research centres :	Interdisciplinary Centre for Security, Reliability and Trust (SnT) > SIGCOM
Funders :	Fonds National de la Recherche - FnR
Permalink :	http://hdl.handle.net/10993/44461
FnR project :	FnR ; FNR11295431 > Oyebade Oyedotun > > Automatic Feature Selection for Visual Recognition > 01/02/2017 > 31/01/2021 > 2016

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Open access	OyedotunShabayekAouadaOttersten_APIN Journal.pdf		Author preprint	5.74 MB	View/Open

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