Bayesian order-adaptive clustering for video segmentation
dc.contributor.author
Orbanz, Peter
dc.contributor.author
Braendle, Samuel
dc.contributor.author
Buhmann, Joachim M.
dc.contributor.editor
Yuille, Alan L.
dc.contributor.editor
Zhu, Song-Chun
dc.contributor.editor
Cremers, Daniel
dc.contributor.editor
Wang, Yongtian
dc.date.accessioned
2017-06-08T18:05:20Z
dc.date.available
2017-06-08T18:05:20Z
dc.date.issued
2007
dc.identifier.isbn
978-3-540-74195-4
dc.identifier.isbn
978-3-540-74198-5
dc.identifier.issn
0302-9743
dc.identifier.issn
1611-3349
dc.identifier.other
10.1007/978-3-540-74198-5_26
dc.identifier.uri
http://hdl.handle.net/20.500.11850/8238
dc.language.iso
en
dc.publisher
Springer
dc.title
Bayesian order-adaptive clustering for video segmentation
dc.type
Conference Paper
ethz.book.title
Energy minimization methods in computer vision and pattern recognition : proceedings
ethz.journal.title
Lecture Notes in Computer Science
ethz.journal.volume
4679
ethz.journal.abbreviated
LNCS
ethz.pages.start
334
ethz.pages.end
349
ethz.event
6th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR 2007)
ethz.event.location
Ezhou, China
ethz.event.date
August 27-29, 2007
ethz.identifier.nebis
005464666
ethz.publication.place
Berlin
ethz.publication.status
published
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02661 - Institut für Maschinelles Lernen / Institute for Machine Learning::03659 - Buhmann, Joachim M. / Buhmann, Joachim M.
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02661 - Institut für Maschinelles Lernen / Institute for Machine Learning::03659 - Buhmann, Joachim M. / Buhmann, Joachim M.
ethz.date.deposited
2017-06-08T18:05:35Z
ethz.source
ECIT
ethz.identifier.importid
imp59364bc364f6961419
ethz.ecitpid
pub:18947
ethz.eth
yes
ethz.availability
Metadata only
ethz.rosetta.installDate
2017-07-19T11:02:18Z
ethz.rosetta.lastUpdated
2021-02-14T05:02:46Z
ethz.rosetta.versionExported
true
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Publikationstyp
-
Conference Paper [34975]