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Using GPUS to speed up a tomographic reconstructor based on machine learning

dc.contributor.authorGonzález Gutiérrez, Carlos 
dc.contributor.authorSantos Rodríguez, Jesús Daniel 
dc.contributor.authorFernández Díaz, Ramón Ángel
dc.contributor.authorCalvo Rolle, José Luis
dc.contributor.authorRoqueñí Gutiérrez, María Nieves 
dc.contributor.authorCos Juez, Francisco Javier de 
dc.date.accessioned2017-03-06T13:17:21Z
dc.date.available2017-03-06T13:17:21Z
dc.date.issued2017
dc.identifier.citationAdvances in Intelligent Systems and Computing, 527, p. 279-289 (2017); doi:10.1007/978-3-319-47364-2_27
dc.identifier.isbn9783319473635
dc.identifier.issn2194-5357
dc.identifier.urihttp://hdl.handle.net/10651/40638
dc.descriptionInternational Joint Conference SOCO’16-CISIS’16-ICEUTE’16 (19th-21st. 2016. San Sebastián)
dc.format.extentp. 279-289
dc.language.isoeng
dc.publisherSpringer Verlag
dc.relation.ispartofAdvances in Intelligent Systems and Computing
dc.rights©, Springer Verlag
dc.sourceScopus
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84992459491&doi=10.1007%2f978-3-319-47364-2_27&partnerID=40&md5=644090844a312407823c2da67045
dc.titleUsing GPUS to speed up a tomographic reconstructor based on machine learning
dc.typeconference outputspa
dc.identifier.doi10.1007/978-3-319-47364-2_27
dc.relation.publisherversionhttp://dx.doi.org/10.1007/978-3-319-47364-2_27


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