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
A Comparison of SimpSVM and RVM for Sign Language Recogniti..:
, In:
Proceedings of the 2017 International Conference on Machine Learning and Soft Computing
,
Thang, Pham Quoc
;
Dung, Nguyen Duc
;
Thuy, Nguyen Thanh
- p. 98-104 , 2017
Link:
https://dl.acm.org/doi/10.1145/3036290.3036322
RT T1 <cTitle>Proceedings of the 2017 International Conference on Machine Learning and Soft Computing</cTitle>: T1 <Title>A Comparison of SimpSVM and RVM for Sign Language Recognition</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3036322&Exemplar=1&LAN=DE A1 Thang, Pham Quoc A1 Dung, Nguyen Duc A1 Thuy, Nguyen Thanh PB ACM YR 2017 K1 Sign language recognition K1 relevance vector machines K1 simplification of support vector machines K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Supervised learning K1 Supervised learning by classification SP 98 OP 104 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3036290.3036322 DO https://dl.acm.org/doi/10.1145/3036290.3036322 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
