CLASSIFICATION BY VARYING FEATURES WITH AN ERRING SENSOR

Authors
GUTMAN PO PELEG K BENHANAN U
Citation
Po. Gutman et al., CLASSIFICATION BY VARYING FEATURES WITH AN ERRING SENSOR, Automatica, 30(12), 1994, pp. 1943-1948
Citations number
19
Categorie Soggetti
Controlo Theory & Cybernetics","Robotics & Automatic Control
Journal title
Automatica → ACNP
ISSN journal
00051098
Volume
30
Issue
12
Year of publication
1994
Pages
1943 - 1948
Database
ISI
SICI code
0005-1098(1994)30:12<1943:CBVFWA>2.0.ZU;2-V
Abstract
A method is proposed for unsupervised classification by a feature that may vary with time, measured by an erring sensor. A classification th reshold for the erring sensor is found such that the misclassification is minimized. It is shown that the method is an application of Bayes rule without knowledge of the a priori probabilities, while estimating the class conditional probabilities by an erring sensor model. Sortin g of fruits is presented as an illustrative example.