MULTIPLE SENSORS, VOTING METHODS AND TARGET VALUE ANALYSIS

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dc.contributor.authorParker, J.R.eng
dc.date.accessioned2008-05-08T18:41:53Z
dc.date.available2008-05-08T18:41:53Z
dc.date.computerscience1999-05-27eng
dc.date.issued1998-02-01eng
dc.description.abstractVoting techniques for high level sensor/data fusion are explored here, with examples from character recognition and target value analysis. High degrees of reliability can be achieved, and the method can be applied to various kinds of data. The only requirement is that a ranking of the targets be extracted from the sensors.eng
dc.description.notesWe are currently acquiring citations for the work deposited into this collection. We recognize the distribution rights of this item may have been assigned to another entity, other than the author(s) of the work.If you can provide the citation for this work or you think you own the distribution rights to this work please contact the Institutional Repository Administrator at digitize@ucalgary.caeng
dc.identifier.department1998-615-06eng
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/30948
dc.identifier.urihttp://hdl.handle.net/1880/46442
dc.language.isoEngeng
dc.publisher.corporateUniversity of Calgaryeng
dc.publisher.facultyScienceeng
dc.subjectComputer Scienceeng
dc.titleMULTIPLE SENSORS, VOTING METHODS AND TARGET VALUE ANALYSISeng
dc.typeunknown
thesis.degree.disciplineComputer Scienceeng
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