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Article (Scientific journals)
Deep network compression with teacher latent subspace learning and LASSO
Oyedotun, Oyebade; Shabayek, Abd El Rahman; Aouada, Djamila et al.
2020 • In Applied Intelligence
Peer Reviewed verified by ORBi
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https://hdl.handle.net/10993/44461
DOI
10.1007/s10489-020-01858-2
 

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Research center :
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > SIGCOM
Disciplines :
Computer science
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)
External co-authors :
no
Language :
English
Title :
Deep network compression with teacher latent subspace learning and LASSO
Publication date :
September 2020
Journal title :
Applied Intelligence
ISSN :
1573-7497
Publisher :
Kluwer Academic Publishers, Netherlands
Peer reviewed :
Peer Reviewed verified by ORBi
FnR Project :
FNR11295431 - Automatic Feature Selection For Visual Recognition, 2016 (01/02/2017-31/01/2021) - Oyebade Oyedotun
Funders :
FNR - Fonds National de la Recherche [LU]
Available on ORBilu :
since 16 October 2020

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