The information content measure as a performance criterion for feature selection
- 1 December 1968
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 7, 23
- https://doi.org/10.1109/sap.1968.267071
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
This publication has 7 references indexed in Scilit:
- A Dynamic Programming Approach to the Selection of Pattern FeaturesIEEE Transactions on Systems Science and Cybernetics, 1968
- An Experimental Study of Machine Recognition of Hand-Printed NumeralsIEEE Transactions on Systems Science and Cybernetics, 1968
- A method of finding linear discriminant functions for a class of performance criteriaIEEE Transactions on Information Theory, 1966
- A Programmed Algorithm for Designing Multifont Character Recognition LogicsIEEE Transactions on Electronic Computers, 1964
- On the effectiveness of receptors in recognition systemsIEEE Transactions on Information Theory, 1963
- Computer-Automated Design of Multifont Print Recognition LogicIBM Journal of Research and Development, 1963
- The characteristic selection problem in recognition systemsIEEE Transactions on Information Theory, 1962