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dc.contributor.author
Orbanz, Peter
dc.contributor.author
Buhmann, Joachim M.
dc.date.accessioned
2017-06-08T18:05:19Z
dc.date.available
2017-06-08T18:05:19Z
dc.date.issued
2008
dc.identifier.issn
0920-5691
dc.identifier.issn
1573-1405
dc.identifier.other
10.1007/s11263-007-0061-0
dc.identifier.uri
http://hdl.handle.net/20.500.11850/8237
dc.language.iso
en
dc.publisher
Springer
dc.subject
Markov random fields
dc.subject
Nonparametric Bayesian methods
dc.subject
Dirichlet process mixtures
dc.subject
Image segmentation
dc.subject
Clustering
dc.subject
Spatial statistics
dc.subject
Markov chain Monte Carlo
dc.title
Nonparametric Bayesian Image Segmentation
dc.type
Journal Article
ethz.journal.title
International Journal of Computer Vision
ethz.journal.volume
77
ethz.journal.issue
1-3
ethz.journal.abbreviated
Int. j. comput. vis.
ethz.pages.start
25
ethz.pages.end
45
ethz.notes
Received 31 August 2005, Accepted 25 April 2007, Published online 12 July 2007.
ethz.identifier.wos
ethz.identifier.nebis
000039461
ethz.publication.place
Dordrecht
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
imp59364bc35fda368820
ethz.ecitpid
pub:18946
ethz.eth
yes
ethz.availability
Metadata only
ethz.rosetta.installDate
2017-07-19T10:19:39Z
ethz.rosetta.lastUpdated
2018-10-01T05:15:35Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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