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 Novel Feature Fusion with Self-adaptive Weight Method Bas..:
, In:
Advances in Multimedia Information Processing – PCM 2018; Lecture Notes in Computer Science
,
Tian, Qijun
;
Wan, Shouhong
;
Jin, Peiquan
... - p. 426-436 , 2018
Link:
https://doi.org/10.1007/978-3-030-00776-8_39
RT T1
Advances in Multimedia Information Processing – PCM 2018; Lecture Notes in Computer Science
: T1
A Novel Feature Fusion with Self-adaptive Weight Method Based on Deep Learning for Image Classification
UL https://suche.suub.uni-bremen.de/peid=cr-10.1007_978-3-030-00776-8_39&Exemplar=1&LAN=DE A1 Tian, Qijun A1 Wan, Shouhong A1 Jin, Peiquan A1 Xu, Jian A1 Zou, Chang A1 Li, Xingyue PB Springer International Publishing YR 2018 SP 426 OP 436 LK http://dx.doi.org/https://doi.org/10.1007/978-3-030-00776-8_39 DO https://doi.org/10.1007/978-3-030-00776-8_39 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)