The science of pattern recognition. achievements and perspectives
pp. 221-259
Abstract
Automatic pattern recognition is usually considered as an engineering area which focusses on the development and evaluation of systems that imitate or assist humans in their ability of recognizing patterns. It may, however, also be considered as a science that studies the faculty of human beings (and possibly other biological systems) to discover, distinguish, characterize patterns in their environment and accordingly identify new observations. The engineering approach to pattern recognition is in this view an attempt to build systems that simulate this phenomenon. By doing that, scientific understanding is gained of what is needed in order to recognize patterns, in general.
Publication details
Published in:
Duch Włodzisław, Mańdziuk Jacek (2007) Challenges for computational intelligence. Dordrecht, Springer.
Pages: 221-259
DOI: 10.1007/978-3-540-71984-7_10
Full citation:
Duin Robert P W, Pekalska Elżbieta (2007) „The science of pattern recognition. achievements and perspectives“, In: W. Duch & J. Mańdziuk (eds.), Challenges for computational intelligence, Dordrecht, Springer, 221–259.