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
Activity Recognition by Delving deeper using CNN and RNN:
, In:
2019 4th International Conference on Information Systems and Computer Networks (ISCON)
,
Singh, Roshan
;
Kushwaha, Alok Kumar Singh
;
Khurana, Rajat
. - p. 610-614 , 2019
Link:
https://doi.org/10.1109/ISCON47742.2019.9036262
RT T1
2019 4th International Conference on Information Systems and Computer Networks (ISCON)
: T1
Activity Recognition by Delving deeper using CNN and RNN
UL https://suche.suub.uni-bremen.de/peid=ieee-9036262&Exemplar=1&LAN=DE A1 Singh, Roshan A1 Kushwaha, Alok Kumar Singh A1 Khurana, Rajat A1 Srivastava, Rajeev YR 2019 K1 Training K1 Hidden Markov models K1 Activity recognition K1 Two dimensional displays K1 Streaming media K1 Testing K1 Recurrent neural networks K1 CNN K1 ResNet K1 RNN K1 CRNN K1 HAR K1 Video Analysis SP 610 OP 614 LK http://dx.doi.org/https://doi.org/10.1109/ISCON47742.2019.9036262 DO https://doi.org/10.1109/ISCON47742.2019.9036262 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)