Title :
The information content measure as a performance criterion for feature selection
Author_Institution :
Cornell Aeronautical Laboratory, Inc., Buffalo, New York
Abstract :
The use of performance measures for selecting features in pattern recognition systems is reviewed. An approximation to the information content measure is derived. The approximation reduces the computation required to calculate the measure. The accuracy of the approximation depends directly on the nature of the patterns and their features. Computational requirements for the approximate measure are specified.
Keywords :
Feature extraction; Laboratories; Pattern recognition;
Conference_Titel :
Adaptive Processes, 1968. Seventh Symposium on
Conference_Location :
Los Angeles, CA, USA
DOI :
10.1109/SAP.1968.267071
