I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Filter Pruning via Eigenfilter for Deep Convolutional Neura..:
, In:
2022 4th International Conference on Applied Machine Learning (ICAML)
,
Ma, Liqiu
;
Zhang, Tong
;
Li, Xiaotao
. - p. 1-6 , 2022
Link:
https://doi.org/10.1109/ICAML57167.2022.00023
RT T1
2022 4th International Conference on Applied Machine Learning (ICAML)
: T1
Filter Pruning via Eigenfilter for Deep Convolutional Neural Networks
UL https://suche.suub.uni-bremen.de/peid=ieee-10056503&Exemplar=1&LAN=DE A1 Ma, Liqiu A1 Zhang, Tong A1 Li, Xiaotao A1 Chen, Wai YR 2022 K1 Performance evaluation K1 Correlation K1 Machine learning K1 Mobile handsets K1 Computational efficiency K1 Sensors K1 Convolutional neural networks K1 filter pruning K1 model compression K1 convolutional neural networks(CNNs} K1 eigenfilter SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/ICAML57167.2022.00023 DO https://doi.org/10.1109/ICAML57167.2022.00023 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)