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Improved Training for Machine Learning: The Additional Potential of Innovative Algorithmic Approaches

Dumitru, Corneliu Octavian and Schwarz, Gottfried and Datcu, Mihai and Stillman, Mila and Karmakar, Chandrabali and Ao, Dongyang and Huang, Zhongling (2021) Improved Training for Machine Learning: The Additional Potential of Innovative Algorithmic Approaches. EGU 2021, 19.–30. April 2021, Vienna, Austria.

Full text not available from this repository.

Official URL: https://meetingorganizer.copernicus.org/EGU21/EGU21-4683.html


Item URL in elib:https://elib.dlr.de/142803/
Document Type:Conference or Workshop Item (Speech)
Additional Information:The full abstract is available at: https://meetingorganizer.copernicus.org/EGU21/EGU21-4683.html.
Title:Improved Training for Machine Learning: The Additional Potential of Innovative Algorithmic Approaches
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Dumitru, Corneliu OctavianCorneliu.Dumitru (at) dlr.deUNSPECIFIED
Schwarz, GottfriedGottfried.Schwarz (at) dlr.deUNSPECIFIED
Datcu, MihaiMihai.Datcu (at) dlr.deUNSPECIFIED
Stillman, MilaUNSPECIFIEDUNSPECIFIED
Karmakar, ChandrabaliChandrabali.Karmakar (at) dlr.deUNSPECIFIED
Ao, DongyangUNSPECIFIEDUNSPECIFIED
Huang, Zhonglinghuangzhongling15 (at) mails.ucas.ac.cnUNSPECIFIED
Date:April 2021
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Machine learning, SAR
Event Title:EGU 2021
Event Location:Vienna, Austria
Event Type:international Conference
Event Dates:19.–30. April 2021
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Artificial Intelligence
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > EO Data Science
Deposited By: Dumitru, Corneliu Octavian
Deposited On:24 Jun 2021 12:43
Last Modified:25 Jun 2021 10:52

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