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, 2018-09-19 - 2018-09-21, 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:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Tibau, Xavier-Andoni	UNSPECIFIED	https://orcid.org/0000-0002-7239-1421	UNSPECIFIED
Requena-Mesa, Christian	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED
Reimers, Christian	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED
Denzler, Joachim	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED
Eyring, Veronika	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED
Reichstein, Markus	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED
Runge, Jakob	UNSPECIFIED	https://orcid.org/0000-0002-0629-1772	UNSPECIFIED

Date:

2018

Refereed publication:

Yes

Open Access:

Yes

Gold Open Access:

In SCOPUS:

In ISI Web of Science:

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 Start Date:

19 September 2018

Event End Date:

21 September 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:

24 Apr 2024 20:31

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