LARS Tech Report Number

070882

Abstract

An algorithm is presented that predicts the mean recognition accuracy as a function of dimensionality for two class problems, using a Bayes classifier in the presence of a limited number of training samples. Several experiments are presented to assess the algorithm's performance, and a binary tree classification procedure that utilizes the algorithm is shown to prove its usefulness.

Date of this Version

January 1982

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