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J.C. Stoffel, Research Laboratories Department, Xerox Corporation
This paper presents a new computerized technique to aid the designers of pattern classifiers when the measurement variables are discrete and the values form a simple nominal scale (no inherent metric). A theory of "prime events" which applies to patterns with measurements of this type is presented. A procedure for applying the theory of "prime events" and an analysis of the "prime event estimates" is given. To manifest additional characteristics of this technique, an example optical character recognition (OCR) application is discussed.
Index Terms:
Classification, discrete variables, interactive pattern recognition, nonparametric pattern recognition, n-tuple selection, optical character recognition (OCR), pattern recognition, prime events.
Citation:
J.C. Stoffel, "A Classifier Design Technique for Discrete Variable Pattern Recognition Problems," IEEE Transactions on Computers, vol. 23, no. 4, pp. 428-441, April 1974, doi:10.1109/T-C.1974.223958
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