DocumentCode :
1553228
Title :
A methodology for mapping scores to probabilities
Author :
Bouchaffra, Djamel ; Govindaraju, Vengatesan
Author_Institution :
Dept. of Comput. Sci., State Univ. of New York at Buffalo, Amherst, NY
Volume :
21
Issue :
9
fYear :
1999
fDate :
9/1/1999 12:00:00 AM
Firstpage :
923
Lastpage :
927
Abstract :
Describes the derivation of probability of correctness from scores assigned by most recognizers. Derivation of probability values puts the output of different recognizers on the same scale; this makes comparison across recognizers trivial. The authors draw on examples from handwritten word recognition to illustrate their point
Keywords :
Bayes methods; image recognition; probability; correctness probability; handwritten word recognition; probability values; scores mapping; Bayesian methods; Computer Society; Extraterrestrial measurements; Handwriting recognition; Image recognition; Pattern classification; Pattern recognition; Scalability; Senior members; Venus;
fLanguage :
English
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher :
ieee
ISSN :
0162-8828
Type :
jour
DOI :
10.1109/34.790432
Filename :
790432
Link To Document :
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