Abstract
In this book a new method for the design of pattern recognizers, PRs, is presented. The heart of the method is a non-exhaustive, iterative procedure by which new effective pattern attributes can be generated from existing, less effective attributes. With this method each pattern is first reduced to a binary sequence by a suitable coding method. Each sequence is then described in a statistical sense by the observed frequency of occurrence of certain selected binary words. The categorization of the patterns is performed on the basis of such observed values. Any pattern attribute used with this method is the observed frequency of occurrence of some specified binary word. The method is therefore called: The Frequency of Occurrence of Binary Words Method, or the FOBW method. The method should also be of value to related disciplines where pattern recognition concepts are used, e. g., artificial intelligence and robotology.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 1974 Springer-Verlag Wien
About this chapter
Cite this chapter
Becker, P.W. (1974). Problems in The Design of Pattern Recognizers. In: Recognition of Patterns. Springer, Vienna. https://doi.org/10.1007/978-3-7091-4103-8_1
Download citation
DOI: https://doi.org/10.1007/978-3-7091-4103-8_1
Publisher Name: Springer, Vienna
Print ISBN: 978-3-211-81267-9
Online ISBN: 978-3-7091-4103-8
eBook Packages: Springer Book Archive