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dc.contributor.authorHeyse, Joris
dc.contributor.authorTorres Vega, Maria
dc.contributor.authorDe Backere, Femke
dc.contributor.authorDe Turck, Filip
dc.date.accessioned2021-10-27T10:24:56Z
dc.date.available2021-10-27T10:24:56Z
dc.date.issued2019
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/33151
dc.sourceIIOimport
dc.titleContextual bandit learning-based viewport prediction for 360 video
dc.typeProceedings paper
dc.contributor.imecauthorHeyse, Joris
dc.contributor.imecauthorTorres Vega, Maria
dc.contributor.imecauthorDe Backere, Femke
dc.contributor.imecauthorDe Turck, Filip
dc.contributor.orcidimecHeyse, Joris::0000-0003-4362-4174
dc.contributor.orcidimecTorres Vega, Maria::0000-0002-5656-6607
dc.contributor.orcidimecDe Backere, Femke::0000-0002-0768-4949
dc.date.embargo9999-12-31
dc.source.peerreviewyes
dc.source.beginpage972
dc.source.endpage973
dc.source.conferenceIEEE VR, the IEEE conference on Virtual Reality
dc.source.conferencedate23/03/2019
dc.source.conferencelocationOsaka Japan
dc.identifier.urlhttps://ieeexplore.ieee.org/document/8797830
imec.availabilityPublished - open access
imec.internalnotesISBN 978-1-7281-1377-7


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