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" ACTIVE OBJECT RECOGNITION CONDITIONED BY PROBABILISTIC EVIDENCE AND ENTROPY MAPSET C A L I B ~ &RIQUEMENTET C A L I B ~&RIQUEMENT.POMPES PAR TRANSITIONS MULTIPLES "


Document Type : Latin Dissertation
Language of Document : English
Record Number : 155001
Doc. No : ET26793
Main Entry : Tal Arbel
Title Proper : ACTIVE OBJECT RECOGNITION CONDITIONED BY PROBABILISTIC EVIDENCE AND ENTROPY MAPSET C A L I B ~ RIQUEMENTET C A L I B ~RIQUEMENT.POMPES PAR TRANSITIONS MULTIPLES
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Abstract : This thesis introduces a novel method for sequentially accumulating evidence as it pertainsto an active observer seeking to identify an object in a known environment. First, a probabiiitic framework is developed, based on a generalized inverse theory, where assertionsare represented by conditional probability density functions. In order.
Subject : Electericl tess
: برق
electronic file name : TL51069.pdf
Title and statement of responsibility and : ACTIVE OBJECT RECOGNITION CONDITIONED BY PROBABILISTIC EVIDENCE AND ENTROPY MAPSET C A L I B ~ RIQUEMENTET C A L I B ~RIQUEMENT.POMPES PAR TRANSITIONS MULTIPLES [Thesis]
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TL51069.pdf
TL51069.pdf
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