Pattern classification means using feature vector regions preconstructed from reference data
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United States of America Patent
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Oct 22, 1991
Issued Date -
N/A
app pub date -
Apr 25, 1988
filing date -
Oct 10, 1985
priority date (Note) -
Expired
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Abstract
A method for classifying an input feature vector representing an unknown pattern as belonging to one of a set of pre-defined pattern classes, wherein the input feature vector is compared with pre-constructed regions. A hierarchy of possibility regions is used to exclude a pattern class from consideration. Certainty regions are used to classify with certainty the input feature vector as belonging to some pattern class. Confidence regions are used to identify, although not with certainty, the unknown input pattern and assign a confidence value indicating the relative confidence associated with the possiblity that this unknown pattern belongs to given pattern class.
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