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Supervised learning without labelling: Applied domain randomization on scientific images.

Jose, Basil and Geigle, Klaus Peter and Hampp, Fabian (2022) Supervised learning without labelling: Applied domain randomization on scientific images. DLR Wissensaustausch-Workshop Maschinelles Lernen 7, 2022-11-07 - 2022-11-09, Jena, Germany.

Full text not available from this repository.


Item URL in elib:https://elib.dlr.de/193544/
Document Type:Conference or Workshop Item (Poster)
Title:Supervised learning without labelling: Applied domain randomization on scientific images.
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Jose, BasilDLR-VT / TU Bergakademie FreibergUNSPECIFIEDUNSPECIFIED
Geigle, Klaus PeterUNSPECIFIEDhttps://orcid.org/0000-0002-7564-1510UNSPECIFIED
Hampp, FabianIVLR, Uni Stuttgarthttps://orcid.org/0000-0002-9895-4288UNSPECIFIED
Date:2022
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:machine learning, image processing, laser diagnostics, kHz
Event Title:DLR Wissensaustausch-Workshop Maschinelles Lernen 7
Event Location:Jena, Germany
Event Type:Workshop
Event Start Date:7 November 2022
Event End Date:9 November 2022
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:Clean Propulsion
DLR - Research area:Aeronautics
DLR - Program:L CP - Clean Propulsion
DLR - Research theme (Project):L - Virtual Engine, E - Combustion and Power Plant Systems
Location: Stuttgart
Institutes and Institutions:Institute of Combustion Technology > Combustion Diagnostícs
Deposited By: Geigle, Dr. Klaus Peter
Deposited On:24 Jan 2023 09:01
Last Modified:24 Apr 2024 20:54

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