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AuthorKächele, Markusdc.contributor.author
Date of accession2020-02-13T12:25:31Zdc.date.accessioned
Available in OPARU since2020-02-13T12:25:31Zdc.date.available
Date of first publication2020dc.date.issued
Languageendc.language.iso
PublisherUniversität Ulmdc.publisher
Dewey Decimal GroupDDC 004 / Data processing & computer sciencedc.subject.ddc
LCSHMachine learningdc.subject.lcsh
LCSHUser interfaces (Computer systems)dc.subject.lcsh
LCSHOptical data processingdc.subject.lcsh
LCSHHuman face recognition (Computer science)dc.subject.lcsh
TitleMachine learning systems for multimodal affect recognitiondc.title
Resource typeDissertationdc.type
Date of acceptance2019-02-15dcterms.dateAccepted
RefereePalm, Güntherdc.contributor.referee
RefereeSchwenker, Friedhelmdc.contributor.referee
RefereeGöcke, R.dc.contributor.referee
PPN1681243482dc.identifier.ppn
GNDMaschinelles Lernendc.subject.gnd
GNDAffective Computingdc.subject.gnd
GNDOptische Datenverarbeitungdc.subject.gnd
GNDGesichtserkennungdc.subject.gnd
FacultyFakultät für Ingenieurwissenschaften, Informatik und Psychologieuulm.affiliationGeneral
InstitutionInstitut für Neuroinformatikuulm.affiliationSpecific
Grantor of degreeFakultät für Ingenieurwissenschaften, Informatik und Psychologieuulm.thesisGrantor
DCMI TypeTextuulm.typeDCMI
CategoryPublikationsnachweiseuulm.category
SeriesResearchuulm.dissSeries
Place of publicationWiesbadenuulm.dissPublisherPlace
PublisherSpringer Vieweguulm.dissPublisher
Erscheinungsjahr2020uulm.dissYear
ISBN9783658286736uulm.dissISBN
ISBN3658286733uulm.dissISBN
ISBN9783658286743uulm.dissISBN
University Bibliographyjauulm.unibibliographie


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