Towards Scalable Activity Recognition
Adapting Zero-Effort Crowdsourced Acoustic Models
dc.contributor.author
Nguyen-Dinh, Long-Van
dc.contributor.author
Blanke, Ulf
dc.contributor.author
Tröster, Gerhard
dc.date.accessioned
2017-06-11T03:22:44Z
dc.date.available
2017-06-11T03:22:44Z
dc.date.issued
2013
dc.identifier.isbn
978-1-4503-2648-3
dc.identifier.other
10.1145/2541831.2541832
dc.identifier.uri
http://hdl.handle.net/20.500.11850/78545
dc.language.iso
en
dc.publisher
Association for Computing Machinery
dc.subject
Activity recognition
dc.subject
Ambient sound, mobile phone
dc.subject
Crowdsourcing
dc.subject
Personalization
dc.subject
Adaptation
dc.subject
Semi-supervised learning
dc.subject
Active learning
dc.title
Towards Scalable Activity Recognition
dc.type
Conference Paper
ethz.title.subtitle
Adapting Zero-Effort Crowdsourced Acoustic Models
ethz.book.title
Proceedings of the 12th International Conference on Mobile and Ubiquitous Multimedia
ethz.pages.start
18
ethz.size
10 p.
ethz.event
12th International Conference on Mobile and Ubiquitous Multimedia (MUM 2013)
ethz.event.location
Luleå, Sweden
ethz.event.date
December 2-5, 2013
ethz.publication.place
New York, NY
ethz.publication.status
published
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02634 - Institut für Elektronik / Institute for Electronics::03388 - Tröster, Gerhard (emeritus)
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02634 - Institut für Elektronik / Institute for Electronics::03388 - Tröster, Gerhard (emeritus)
ethz.date.deposited
2017-06-11T03:23:23Z
ethz.source
ECIT
ethz.identifier.importid
imp5936517e2093b65948
ethz.ecitpid
pub:123561
ethz.eth
yes
ethz.availability
Metadata only
ethz.rosetta.installDate
2017-07-12T18:04:06Z
ethz.rosetta.lastUpdated
2024-02-01T21:25:34Z
ethz.rosetta.versionExported
true
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Publikationstyp
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Conference Paper [34969]