Object hypothesis support in the context of knowledge-based fuzzy-possibilistic fusion of image descriptions

RAPTIS, S; Tzafestas, S

dc.contributor.author	RAPTIS, S	en
dc.contributor.author	Tzafestas, S	en
dc.date.accessioned	2014-03-01T02:48:59Z
dc.date.available	2014-03-01T02:48:59Z
dc.date.issued	2000	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/34189
dc.subject	Conceptual Framework	en
dc.subject	Fuzzy Logic	en
dc.subject	Knowledge Base	en
dc.subject	Knowledge Integration	en
dc.subject	Pattern Recognition	en
dc.title	Object hypothesis support in the context of knowledge-based fuzzy-possibilistic fusion of image descriptions	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/IFIC.2000.862458	en
heal.identifier.secondary	http://dx.doi.org/10.1109/IFIC.2000.862458	en
heal.publicationDate	2000	en
heal.abstract	Single images are often not enough to reveal all of the information contained in them, either because of the measurement ambiguity or because of the observer's imperfect knowledge. Integrating or fusing many knowledge sources is a recent trend in the pattern recognition field. In the work presented in this paper, fuzzy logic, which has been established to be a successful	en
heal.journalName	International Conference on Information Fusion	en
dc.identifier.doi	10.1109/IFIC.2000.862458	en