Predicting the Required Number of Training Samples

Authors:
H. M. Kalayeh;D. A. Landgrebe
Affiliations:
Object Recognition Systems, Inc., Princeton, NJ 08540.;Engineering Experiment Station, Purdue University, West Lafayette, IN 47906.
Venue:
IEEE Transactions on Pattern Analysis and Machine Intelligence
Year:
1983

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Abstract

In this paper a criterion which measures the quality of the estimate of the covariance matrix of a multivariate normal distribution is developed. Based on this criterion, the necessary number of training samples is predicted. Experimental results which are used as a guide for determining the number of training samples are included.