Elsevier

Advances in Computers

Volume 10, 1970, Pages 175-188, 188a, 189-216
Advances in Computers

A Unified Approach to Pattern Analysis1

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Publisher Summary

This chapter presents an approach to pattern recognition based on a formal description of some basic concepts—such as pattern, image, deformation mechanism—and in which the design of recognition algorithms is carried out within this formalism. One of the main obstacles to the successful recognition of patterns is the sheer size of the computing effort that would be needed to implement a highly discriminating recognition algorithm. This is particularly clear for those statistically oriented recognition methods that attempt to distinguish among the patterns of quite general nature a priori through the use of learning algorithms. The reason for this is that the problems in pattern recognition have not been sufficiently structured. One seldom defines what constitutes a pattern in a general context (not necessarily pictorial, two- or three-dimensional) or how patterns are formed in principle and relate to observables. These questions are discussed informally in this chapter.

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Supported by NSF grants GP-7347 and GJ-72.

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