dc.contributor.author |
Wang, Chaohui |
de_DE |
dc.date.accessioned |
2014-04-02T08:58:44Z |
|
dc.date.available |
2014-04-02T08:58:44Z |
|
dc.date.issued |
2013 |
de_DE |
dc.identifier.issn |
1077-3142 |
de_DE |
dc.identifier.uri |
http://hdl.handle.net/10900/50806 |
|
dc.language.iso |
en |
en |
dc.publisher |
Academic Press Inc Elsevier Science |
de_DE |
dc.relation.uri |
http://dx.doi.org/10.1016/j.cviu.2013.07.004 |
de_DE |
dc.rights |
info:eu-repo/semantics/closedAccess |
|
dc.subject.ddc |
004 |
de_DE |
dc.subject.ddc |
600 |
de_DE |
dc.title |
Markov Random Field modeling, inference & learning in computer vision & image understanding: A survey |
de_DE |
dc.type |
Article |
de_DE |
utue.quellen.id |
20140116051827_00395 |
de_DE |
utue.publikation.seiten |
1610-1627 |
de_DE |
utue.personen.roh |
Wang, Chaohui |
de_DE |
utue.personen.roh |
Komodakis, Nikos |
de_DE |
utue.personen.roh |
Paragios, Nikos |
de_DE |
dcterms.isPartOf.ZSTitelID |
Computer Vision and Image Understanding |
de_DE |
dcterms.isPartOf.ZS-Issue |
11 |
de_DE |
dcterms.isPartOf.ZS-Volume |
117 |
de_DE |
utue.fakultaet |
Sonstige |
de_DE |