Abstract

The Pattern Recognition (P.R.) problem of the identification of an object from a representation data may be termed as a reduction in the complexity of the representation. Pattern recognizers have to find algorithms which escape the untractability of combinatorial explosion, without being defeated by errors. Thus the recent results obtained in the field of computational complexity are of interest to P.R.. An overview is given, with an attention to the class of NP-complete problems, and polynomial problems of interest to P.R.; some hints are given how to escape untractability.

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