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dc.contributor.authorPatacchiola, Men
dc.contributor.authorCangelosi, Aen
dc.date.accessioned2017-06-20T08:01:12Z
dc.date.available2017-06-20T08:01:12Z
dc.date.issued2017-11-01en
dc.identifier.urihttp://hdl.handle.net/10026.1/9497
dc.language.isoenen
dc.titleHead pose estimation in the wild using Convolutional Neural Networks and adaptive gradient methodsen
dc.typeJournal Article
plymouth.journalPattern Recognitionen
dc.identifier.doi10.1016/j.patcog.2017.06.009en
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/00 Groups by role
plymouth.organisational-group/Plymouth/00 Groups by role/Professional Services staff
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering/School of Computing, Electronics and Mathematics
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA11 Computer Science and Informatics
plymouth.organisational-group/Plymouth/Research Groups
plymouth.organisational-group/Plymouth/Research Groups/Institute of Health and Community
plymouth.organisational-group/Plymouth/Research Groups/Marine Institute
dcterms.dateAccepted2017-06-01en
dc.rights.embargodate2018-06-03en
dc.rights.embargoperiodNot knownen
rioxxterms.versionofrecord10.1016/j.patcog.2017.06.009en
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden
rioxxterms.licenseref.startdate2017-11-01en
rioxxterms.typeJournal Article/Reviewen


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