Pattern discrimination using ellipsoidally symmetric multivariate density functions |
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Authors: | Robert M. Haralick |
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Affiliation: | University of Kansas, Remote Sensing Laboratory, Lawrence, KS 66045, U.S.A. |
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Abstract: | A brief review of ellipsoidally symmetric density functions is done. For the case of monotonic functional forms and distributions with common covariance matrices, a lower bound on the probability of correct classification is calculated in terms of either an incomplete beta or gamma integral, for a class of common functional forms. The lower bound is a monotonically increasing function of the Mahalanobis distance for all monotonic ellipsoidally symmetric forms. |
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Keywords: | Ellipsoidally symmetric density function Multivariate density function Statistical pattern discrimination Pattern discrimination error bounds |
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