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dc.contributor.author
Medic, Danilo
dc.date.accessioned
2017-06-13T19:19:34Z
dc.date.available
2017-06-13T19:19:34Z
dc.date.issued
2013
dc.identifier.uri
http://hdl.handle.net/20.500.11850/153957
dc.identifier.doi
10.3929/ethz-a-009779099
dc.language.iso
en
dc.publisher
ETH Zurich, Department of Computer Science
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.subject
COMPUTERVISION (KÜNSTLICHE INTELLIGENZ)
dc.subject
MUSTERERKENNUNG (KÜNSTLICHE INTELLIGENZ)
dc.subject
COMPUTER VISION + SCENE UNDERSTANDING (ARTIFICIAL INTELLIGENCE)
dc.subject
PATTERN RECOGNITION (ARTIFICIAL INTELLIGENCE)
dc.title
Model driven optical form recognition
dc.type
Master Thesis
dc.rights.license
In Copyright - Non-Commercial Use Permitted
dc.date.published
2013
ethz.size
Online-Ressource
ethz.code.ddc
0 - Computer science, information & general works::004 - Data processing, computer science
ethz.notes
Master thesis ETH Zurich, 2013.
ethz.identifier.nebis
009779099
ethz.publication.place
Zurich
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
imp59366b3d7871111018
ethz.ecolpid
eth:6928
ethz.eth
yes
ethz.availability
Open access
ethz.rosetta.installDate
2017-07-19T02:21:33Z
ethz.rosetta.lastUpdated
2018-11-05T03:19:01Z
ethz.rosetta.versionExported
true
ethz.COinS
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