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dc.contributor.authorRibeiro, Fabio De Sousa
dc.contributor.authorLeontidis, Georgios
dc.contributor.authorKollias, Stefanos
dc.date.accessioned2021-04-08T13:37:01Z
dc.date.available2021-04-08T13:37:01Z
dc.date.issued2019-11-10
dc.identifier.citationRibeiro , F D S , Leontidis , G & Kollias , S 2019 , ' Capsule Routing via Variational Bayes ' , Paper presented at Thirty-Fourth AAAI Conference on Artificial Intelligence , New York , United States , 7/02/20 - 12/02/20 pp. 1-8 . https://doi.org/10.1609/aaai.v34i04.5785en
dc.identifier.citationconferenceen
dc.identifier.otherPURE: 158425932
dc.identifier.otherPURE UUID: 6523989c-9128-434f-b4cc-560c7f0ca994
dc.identifier.otherArXiv: http://arxiv.org/abs/1905.11455v3
dc.identifier.otherORCID: /0000-0001-6671-5568/work/93482998
dc.identifier.urihttps://hdl.handle.net/2164/16203
dc.description34th AAAI 2020 Accepted Paper - Flagship/Top conference with very high h-indexen
dc.format.extent8
dc.language.isoeng
dc.relation.ispartofen
dc.subjectCapsule Networksen
dc.subjectDeep Learningen
dc.subjectVariational Bayesen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectArtificial Intelligenceen
dc.subject.lccQA75en
dc.titleCapsule Routing via Variational Bayesen
dc.typeConference paperen
dc.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.contributor.institutionUniversity of Aberdeen.Centre for Energy Transitionen
dc.description.statusPeer revieweden
dc.description.versionPostprinten
dc.identifier.doihttps://doi.org/10.1609/aaai.v34i04.5785
dc.identifier.urlhttps://aaai.org/ojs/index.php/AAAI/article/download/5785/5641en
dc.identifier.urlhttps://aaai.org/ojs/index.php/AAAI/article/download/5785/5641en


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