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
Unsupervised Expectation Propagation Method for Large-Scale..:
, In:
2022 Sensor Signal Processing for Defence Conference (SSPD)
,
Yao, Dan
;
McLaughlin, Stephen
;
Altmann, Yoann
- p. 1-5 , 2022
Link:
https://doi.org/10.1109/SSPD54131.2022.9896226
RT T1
2022 Sensor Signal Processing for Defence Conference (SSPD)
: T1
Unsupervised Expectation Propagation Method for Large-Scale Sparse Linear Inverse Problems
UL https://suche.suub.uni-bremen.de/peid=ieee-9896226&Exemplar=1&LAN=DE A1 Yao, Dan A1 McLaughlin, Stephen A1 Altmann, Yoann YR 2022 K1 Uncertainty K1 Deconvolution K1 Estimation K1 Imaging K1 Signal processing K1 Bayes methods K1 Noise measurement K1 Unsupervised approximate Bayesian inference K1 Expectation Propagation K1 large-scale problem K1 sparse linear model K1 sparsity prior K1 hyperparameter estimation SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/SSPD54131.2022.9896226 DO https://doi.org/10.1109/SSPD54131.2022.9896226 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)