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
Robust Signal Classification Using Siamese Networks:
, In:
Proceedings of the ACM Workshop on Wireless Security and Machine Learning
,
Langford, Zachary
;
Eisenbeiser, Logan
;
Vondal, Matthew
- p. 1-5 , 2019
Link:
https://dl.acm.org/doi/10.1145/3324921.3328781
RT T1
Proceedings of the ACM Workshop on Wireless Security and Machine Learning
: T1
Robust Signal Classification Using Siamese Networks
UL https://suche.suub.uni-bremen.de/peid=acm-3328781&Exemplar=1&LAN=DE A1 Langford, Zachary A1 Eisenbeiser, Logan A1 Vondal, Matthew PB ACM YR 2019 K1 Siamese networks K1 convolutional neural networks K1 signal classification K1 specific emitter identification K1 Security and privacy K1 Network security K1 Mobile and wireless security K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Neural networks SP 1 OP 5 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3324921.3328781 DO https://dl.acm.org/doi/10.1145/3324921.3328781 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)