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dc.contributor.author
Loukas, Andreas
dc.contributor.author
Isufifi, Elvin
dc.contributor.author
Perraudin, Nathanael
dc.contributor.editor
Matthews, Michael B.
dc.date.accessioned
2018-09-11T15:01:33Z
dc.date.available
2018-08-10T08:30:45Z
dc.date.available
2018-08-10T15:57:57Z
dc.date.available
2018-09-11T15:01:33Z
dc.date.issued
2018
dc.identifier.isbn
978-1-5386-1823-3
en_US
dc.identifier.isbn
978-1-5386-0666-7
en_US
dc.identifier.isbn
978-1-5386-1824-0
en_US
dc.identifier.other
10.1109/ACSSC.2017.8335136
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/281714
dc.language.iso
en
en_US
dc.publisher
IEEE
en_US
dc.title
Predicting the evolution of stationary graph signals
en_US
dc.type
Conference Paper
dc.date.published
2018-04-16
ethz.book.title
Conference Record of The Fifty-First Asilomar Conference on Signals, Systems & Computers
en_US
ethz.pages.start
60
en_US
ethz.pages.end
64
en_US
ethz.event
51st Asilomar Conference on Signals, Systems, and Computers
en_US
ethz.event.location
Pacific Grove, CA, USA
en_US
ethz.event.date
October 29 - November 1, 2017
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Piscataway, NJ
en_US
ethz.publication.status
published
en_US
ethz.date.deposited
2018-08-10T08:30:52Z
ethz.source
SCOPUS
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2018-08-10T15:57:59Z
ethz.rosetta.lastUpdated
2018-09-11T15:01:36Z
ethz.rosetta.versionExported
true
ethz.COinS
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