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Grab, Pay, and Eat: Semantic Food Detection for Smart Restaurants

dc.contributor.authorAguilar, Eduardo
dc.contributor.authorRemeseiro López, Beatriz 
dc.contributor.authorBolaños, Marc
dc.contributor.authorRadeva, Petia
dc.date.accessioned2019-04-02T11:10:19Z
dc.date.available2019-04-02T11:10:19Z
dc.date.issued2018
dc.identifier.citationIEEE Transactions on Multimedia, 20(12), p. 3266-3275 (2018); doi:10.1109/TMM.2018.2831627
dc.identifier.issn1520-9210
dc.identifier.urihttp://hdl.handle.net/10651/50936
dc.description.sponsorshipThis work was supported in part by TIN2015-66951-C2-1-R, in part by SGR 1219, in part by CERCA Programme/Generalitat de Catalunya, and in part by the NVIDIA Corporation with the donation of the Titan Xp GPU. The work of E. Aguilar was supported by CONICYT Becas Chile. The work of B. Remeseiro was supported by the Spanish Ministry of Economy and Competitiveness under Juan de la Cierva Program (ref. FJCI-2014-21194). The work of M. Bolanos ˜ was supported by an FPU fellowship (ref. FPU15/01347). The work of P. Radeva was supported by ICREA Academia 2014.spa
dc.format.extentp. 3266-3275spa
dc.language.isoengspa
dc.relation.ispartofEEE Transactions on Multimedia, 20spa
dc.rightsCC Reconocimiento - No Comercial - Sin Obra Derivada 4.0 Internacional
dc.rights© 2018 IEEE
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.titleGrab, Pay, and Eat: Semantic Food Detection for Smart Restaurantsspa
dc.typejournal articlespa
dc.identifier.doi10.1109/TMM.2018.2831627
dc.relation.projectIDMINECO/FJCI-2014-21194spa
dc.relation.projectIDFPU15/01347
dc.relation.publisherversionhttps://doi.org/10.1109/TMM.2018.2831627spa
dc.rights.accessRightsopen accessspa
dc.type.hasVersionAM


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CC Reconocimiento - No Comercial - Sin Obra Derivada 4.0 Internacional
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