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
DeepEar : robust smartphone audio sensing in unconstrain..:
, In:
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing
,
Lane, Nicholas D.
;
Georgiev, Petko
;
Qendro, Lorena
- p. 283-294 , 2015
Link:
https://dl.acm.org/doi/10.1145/2750858.2804262
RT T1
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing
: T1
DeepEar : robust smartphone audio sensing in unconstrained acoustic environments using deep learning
UL https://suche.suub.uni-bremen.de/peid=acm-2804262&Exemplar=1&LAN=DE A1 Lane, Nicholas D. A1 Georgiev, Petko A1 Qendro, Lorena PB ACM YR 2015 K1 audio sensing K1 deep learning K1 mobile sensing K1 Human-centered computing K1 Human computer interaction (HCI) K1 Computing methodologies K1 Machine learning SP 283 OP 294 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/2750858.2804262 DO https://dl.acm.org/doi/10.1145/2750858.2804262 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)