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Extending fuzzy sets with new evidence for improving a sign language recognition system

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dc.contributor.author Vogler, C en
dc.contributor.author Tocatlidou, A en
dc.date.accessioned 2014-06-06T06:48:57Z
dc.date.available 2014-06-06T06:48:57Z
dc.date.issued 2009 en
dc.identifier.issn 03029743 en
dc.identifier.uri http://dx.doi.org/10.1007/978-3-642-02282-1_43 en
dc.identifier.uri http://62.217.125.90/xmlui/handle/123456789/4353
dc.subject Fuzzy sets en
dc.subject Information fusion en
dc.subject Uncertain knowledge updating en
dc.subject.other Body of knowledge en
dc.subject.other Linguistic models en
dc.subject.other Prior information en
dc.subject.other Recognition rates en
dc.subject.other Rule base en
dc.subject.other Sign language en
dc.subject.other Sign Language recognition en
dc.subject.other Uncertain knowledge updating en
dc.subject.other Convergence of numerical methods en
dc.subject.other Fuzzy sets en
dc.subject.other Information fusion en
dc.subject.other Linguistics en
dc.subject.other Query languages en
dc.subject.other Fuzzy logic en
dc.title Extending fuzzy sets with new evidence for improving a sign language recognition system en
heal.type conferenceItem en
heal.identifier.primary 10.1007/978-3-642-02282-1_43 en
heal.publicationDate 2009 en
heal.abstract We report an application for extending a fuzzy set with new information to improve recognition rates in a sign language recognition system. The fuzzy sets in the rule base are provided by experts, based on linguistic models of sign languages, which are then extended by fuzzy sets estimated from actual data. The extension algorithm unites an initial knowledge entity and a piece of new information, which is iteratively incorporated until convergence is reached. Experiments show that combining prior information and new evidence improves recognition rates beyond what can be achieved using either body of knowledge by itself. © 2009 Springer Berlin Heidelberg. en
heal.journalName Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) en
dc.identifier.volume 5571 LNAI en
dc.identifier.doi 10.1007/978-3-642-02282-1_43 en
dc.identifier.spage 344 en
dc.identifier.epage 351 en


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