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2000
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A Bayesian Approach to Object Identification in Pattern Recognition

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A Bayesian Approach to Object Identification in Pattern Recognition
We present a new Bayesian approach to object identification: variants. By object identification we mean the detection of the member (regular variant) of a given statistical population (model) among a group of observations (variants). We present estimators for selecting the regular variant, which (i) depend on the knowledge of the regular population and on a suitable reference measure, only, (ii) are simple to evaluate, and (iii) are optimal, i. e., Bayesian under certain conditions. Moreover, we combine variant selection with Bayesian classification considering the situation where we observe
Gunter Ritter, María Teresa Gallegos
Added 25 Aug 2010
Updated 25 Aug 2010
Type Conference
Year 2000
Where ICPR
Authors Gunter Ritter, María Teresa Gallegos
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