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dc.contributorEscalera, Sergio
dc.contributorAnbarjafari, Gholamreza
dc.contributor.authorGarcía Zapata, Daniel Natanael
dc.date.accessioned2018-06-10T13:49:57Z
dc.date.available2018-06-10T13:49:57Z
dc.date.issued2018-04
dc.identifier.urihttp://hdl.handle.net/2117/117975
dc.description.abstractFacial expressions convey lots of information, which can be used for identifying emotions. These facial expressions vary in time when they are being performed. Recognition of certain emotions is a very challenging task even for people. This thesis consists of using machine learning algorithms for re
dc.language.isoeng
dc.publisherUniversitat Politécnica de Catalunya
dc.subjectÀrees temàtiques de la UPC::Informàtica
dc.subject.lcshMachine learning
dc.subject.lcshComputer vision
dc.subject.lcshHuman face recognition (Computer science)
dc.subject.otherdeep learning
dc.subject.otheremotion recognition
dc.subject.othercnn
dc.subject.other3dcnn
dc.subject.othergru
dc.subject.otherlstm
dc.subject.otherfacial exrpression
dc.subject.otherimage
dc.subject.otherimage sequences
dc.titleDeep learning for multi-modal hidden emotion analysis
dc.typeMaster thesis
dc.subject.lemacAprenentatge automàtic
dc.subject.lemacVisió per ordinador
dc.subject.lemacReconeixement facial (Informàtica)
dc.identifier.slug131844
dc.rights.accessOpen Access
dc.date.updated2018-04-30T04:00:16Z
dc.audience.educationlevelMàster
dc.audience.degreeMÀSTER UNIVERSITARI EN INTEL·LIGÈNCIA ARTIFICIAL (Pla 2017)


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