THE LOEVE-KARHUNEN EXPANSION AS A MEANS OF INFORMATION COMPRESSION FOR CLASSIFICATION OF CONTINUOUS SIGNALS.
Final rept. 15 Jul 63-14 Jul 64,
THOMAS J WATSON RESEARCH CENTER YORKTOWN HEIGHTS N Y
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The present paper is concerned mainly with the aspect of information compression, which is only part of the process of recognition. The problem of zoning division of the space into disjoint volumes corresponding to classes and the problem of decision making such as the Bayesian algorithm require, among others, careful study in connection with classification and recognition, but are not included in this paper.