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Object Classification Via Transferable Belief Model: Case-Based Approach [Aktarilabilir Inanc Modeli Araciligiyla Nesne Siniflandirma: Duruma Ozgu Yaklasim]

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dc.contributor.authorsAribas K.M., Vural C., Altun M.
dc.date.accessioned2022-03-15T02:15:16Z
dc.date.accessioned2026-01-11T08:01:34Z
dc.date.available2022-03-15T02:15:16Z
dc.date.issued2020
dc.description.abstractIn this study, a belief function theory based supervised classifier that is able to determine the class of a ship automatically is developed. Transferable belief model is used to model the uncertainty and impreciseness about the measurements obtained from sensors. The case-based classifier developed in the context of the transferable belief model is realized and its accuracy is measured on an artificial database. © 2020 IEEE.
dc.identifier.doi10.1109/SIU49456.2020.9302214
dc.identifier.isbn9781728172064
dc.identifier.urihttps://hdl.handle.net/11424/248107
dc.language.isotur
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartof2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectbelief function theory
dc.subjectobject classification
dc.subjecttransferable belief model
dc.titleObject Classification Via Transferable Belief Model: Case-Based Approach [Aktarilabilir Inanc Modeli Araciligiyla Nesne Siniflandirma: Duruma Ozgu Yaklasim]
dc.typeconferenceObject
dspace.entity.typePublication
oaire.citation.title2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings

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