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
From character to document representation with global conte..:
, In:
Proceedings of the 3rd International Conference on Communication and Information Processing
,
Wu, Zhenzhou
;
Zheng, Xin
;
Dahlmeier, Daniel
- p. 170-174 , 2017
Link:
https://dl.acm.org/doi/10.1145/3162957.3162973
RT T1
Proceedings of the 3rd International Conference on Communication and Information Processing
: T1
From character to document representation with global context awareness
UL https://suche.suub.uni-bremen.de/peid=acm-3162973&Exemplar=1&LAN=DE A1 Wu, Zhenzhou A1 Zheng, Xin A1 Dahlmeier, Daniel PB ACM YR 2017 K1 deep learning K1 document representation K1 global context awareness K1 General and reference K1 Document types K1 General conference proceedings K1 Information systems K1 Information retrieval K1 Retrieval tasks and goals K1 Clustering and classification K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Learning latent representations SP 170 OP 174 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3162957.3162973 DO https://dl.acm.org/doi/10.1145/3162957.3162973 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)