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dc.contributor.author
Paulin, Mattis
dc.date.accessioned
2017-06-13T19:13:34Z
dc.date.available
2017-06-13T19:13:34Z
dc.date.issued
2013
dc.identifier.uri
http://hdl.handle.net/20.500.11850/153936
dc.identifier.doi
10.3929/ethz-a-009767867
dc.format
application/pdf
dc.language.iso
en
dc.publisher
Eidgenössische Technische Hochschule Zürich
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.subject
COMPUTERVISION (KÜNSTLICHE INTELLIGENZ)
dc.subject
MUSTERERKENNUNG + BILDERKENNUNG (MATHEMATISCHE BILDVERARBEITUNG)
dc.subject
BAYESSCHE THEORIE (WAHRSCHEINLICHKEITSRECHNUNG)
dc.subject
COMPUTER VISION + SCENE UNDERSTANDING (ARTIFICIAL INTELLIGENCE)
dc.subject
PATTERN RECOGNITION + IMAGE RECOGNITION (MATHEMATICAL IMAGE PROCESSING)
dc.subject
BAYESIAN THEORY (PROBABILITY THEORY)
dc.title
Bayes Risk for Large Scale Hierarchical Top-K Image Classification
dc.type
Master Thesis
dc.rights.license
In Copyright - Non-Commercial Use Permitted
dc.date.published
2013
ethz.size
Online-Ressource
ethz.code.ddc
DDC - DDC::0 - Computer science, information & general works::004 - Data processing, computer science
ethz.code.ddc
DDC - DDC::5 - Science::510 - Mathematics
ethz.notes
Master thesis ETH, 2013.
ethz.identifier.nebis
009767867
ethz.publication.place
Zürich
ethz.publication.status
published
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science
ethz.date.deposited
2017-06-13T19:19:44Z
ethz.source
ECOL
ethz.identifier.importid
imp59366b3c74cd046860
ethz.ecolpid
eth:6877
ethz.eth
yes
ethz.availability
Open access
ethz.rosetta.installDate
2017-07-25T19:50:09Z
ethz.rosetta.lastUpdated
2018-11-05T03:14:03Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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