Cultural advice

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

Aboriginal and Torres Strait Islander peoples are advised that ANU Library collections may include images, names, voices, and other representations of deceased persons.

Material in the collection may contain terms, language or views that reflect the period in which the item was created and may be considered inappropriate today.

Machine learning for big visual analysis

Simple item page
dc.contributor.authorYu, Jun
dc.contributor.authorMei, Xue
dc.contributor.authorPorikli, Fatih
dc.contributor.authorCorso, Jason
dc.date.accessioned2020-01-14T03:34:55Z
dc.date.issued2018-06-23
dc.date.updated2019-11-25T07:20:00Z
dc.description.sponsorshipThe work was supported in part by the NSFC61622205 and in part the NSFC-61472110.en_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.citationYu, J., Mei, X., Porikli, F. et al. Machine Vision and Applications (2018) 29: 929. https://doi.org/10.1007/s00138-018-0948-5en_AU
dc.identifier.issn0932-8092en_AU
dc.identifier.urihttp://hdl.handle.net/1885/197202
dc.language.isoen_AUen_AU
dc.publisherSpringeren_AU
dc.rights© 2018 Springer-Verlag GmbH Germany, part of Springer Natureen_AU
dc.sourceMachine Vision and Applicationsen_AU
dc.titleMachine learning for big visual analysisen_AU
dc.typeJournal articleen_AU
local.bibliographicCitation.issue6en_AU
local.bibliographicCitation.lastpage931en_AU
local.bibliographicCitation.startpage929en_AU
local.contributor.affiliationYu, Jun, Hangzhou Dianzi Universityen_AU
local.contributor.affiliationMei, Xue, Toyota Research Instituteen_AU
local.contributor.affiliationPorikli, Fatih, College of Engineering and Computer Science, ANUen_AU
local.contributor.affiliationCorso, Jason, University of Michiganen_AU
local.contributor.authoruidPorikli, Fatih, u5405232en_AU
local.description.embargo2037-12-31
local.description.notesImported from ARIESen_AU
local.identifier.absfor080104 - Computer Visionen_AU
local.identifier.ariespublicationa383154xPUB10190en_AU
local.identifier.citationvolume29en_AU
local.identifier.doi10.1007/s00138-018-0948-5en_AU
local.identifier.scopusID2-s2.0-85049014816
local.publisher.urlhttps://link.springer.com/en_AU
local.type.statusPublished Versionen_AU

Downloads

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
01_Yu_Machine_learning_for_big_2018.pdf
Size:
321.8 KB
Format:
Adobe Portable Document Format
Download

Collections

ANU Research Publications

DSpace software copyright © 2002-2026 LYRASIS