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SupernoVAE : VAE based kernel PCA for analysis of spatio-temporal Earth data

Tibau, Xavier-Andoni and Requena-Mesa, Christian and Reimers, Christian and Denzler, Joachim and Eyring, Veronika and Reichstein, Markus and Runge, Jakob (2018) SupernoVAE : VAE based kernel PCA for analysis of spatio-temporal Earth data. 8th Int. Work. Clim. Informatics, 19-21 Sep 2018, Boulder, USA.

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Item URL in elib:https://elib.dlr.de/127450/
Document Type:Conference or Workshop Item (Poster)
Title:SupernoVAE : VAE based kernel PCA for analysis of spatio-temporal Earth data
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Tibau, Xavier-AndoniUNSPECIFIEDhttps://orcid.org/0000-0002-7239-1421
Requena-Mesa, ChristianUNSPECIFIEDUNSPECIFIED
Reimers, ChristianUNSPECIFIEDUNSPECIFIED
Denzler, JoachimUNSPECIFIEDUNSPECIFIED
Eyring, VeronikaUNSPECIFIEDUNSPECIFIED
Reichstein, MarkusUNSPECIFIEDUNSPECIFIED
Runge, JakobUNSPECIFIEDhttps://orcid.org/0000-0002-0629-1772
Date:2018
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 1-4
Status:Published
Keywords:deep learning, climate
Event Title:8th Int. Work. Clim. Informatics
Event Location:Boulder, USA
Event Type:international Conference
Event Dates:19-21 Sep 2018
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:other
DLR - Research area:Raumfahrt
DLR - Program:R - no assignment
DLR - Research theme (Project):R - no assignment
Location: Jena
Institutes and Institutions:Institute of Data Science
Deposited By: Runge, Jakob
Deposited On:23 May 2019 11:15
Last Modified:31 Jul 2019 20:25

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