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dc.contributor.author
Odermatt, Roger
dc.date.accessioned
2017-06-13T15:42:28Z
dc.date.available
2017-06-13T15:42:28Z
dc.date.issued
2011
dc.identifier.uri
http://hdl.handle.net/20.500.11850/153146
dc.identifier.doi
10.3929/ethz-a-006900760
dc.language.iso
en
dc.publisher
Swiss Federal Institute of Technolog Zurich, Department of Information Technology and Electrical Engineering, Computer Vision Laboratory
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.subject
COMPUTERVISION (KÜNSTLICHE INTELLIGENZ)
dc.subject
BEWEGUNGSWAHRNEHMUNG (COMPUTERVISION)
dc.subject
COMPUTERANIMATION (SOFTWAREPRODUKTE)
dc.subject
COMPUTER VISION + SCENE UNDERSTANDING (ARTIFICIAL INTELLIGENCE)
dc.subject
MOTION PERCEPTION (COMPUTER VISION)
dc.subject
COMPUTER ANIMATION (SOFTWARE PRODUCTS)
dc.title
Improving Action Classifiers with Depth
dc.type
Student Paper
dc.rights.license
In Copyright - Non-Commercial Use Permitted
dc.date.published
2012
ethz.size
Online-Datei
ethz.code.ddc
0 - Computer science, information & general works::004 - Data processing, computer science
ethz.code.ddc
6 - Technology, medicine and applied sciences::621.3 - Electric engineering
ethz.notes
Semester Thesis ETH Zurich, July 2011.
ethz.identifier.nebis
006900760
ethz.publication.place
Zürich
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich, direkt::00012 - Lehre und Forschung, direkt::00007 - Departemente, direkt::02140 - Departement Informationstechnologie und Elektrotechnik / Department of Information Technology and Electrical Engineering
ethz.grant.fundername
EC
ethz.date.deposited
2017-06-13T15:45:26Z
ethz.source
ECOL
ethz.identifier.importid
imp59366b1c2341d81254
ethz.ecolpid
eth:5133
ethz.eth
yes
ethz.availability
Open access
ethz.rosetta.installDate
2017-07-15T15:24:27Z
ethz.rosetta.lastUpdated
2017-07-15T15:24:27Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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