Application of the Karhunen-Loève Expansion to Feature Selection and Ordering
- 1 April 1970
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Computers
- Vol. C-19 (4), 311-318
- https://doi.org/10.1109/t-c.1970.222918
Abstract
The Karhunen-Lo6ve expansion has been used previously to extract important features for representing samples taken from a given distribution. A method is developed herein to use the Karhunen-Loeve expansion to extract features relevant to classification of a sample taken from one of two pattern classes. Numerical examples are presented to illustrate the technique.This publication has 5 references indexed in Scilit:
- Calculation of Bayes' Recognition Error for Two Multivariate Gaussian DistributionsIEEE Transactions on Computers, 1969
- On the generalized Karhunen-Loeve expansion (Corresp.)IEEE Transactions on Information Theory, 1967
- On the best finite set of linear observables for discriminating two Gaussian signalsIEEE Transactions on Information Theory, 1967
- Detection TheoryPublished by Walter de Gruyter GmbH ,1965
- On the effectiveness of receptors in recognition systemsIEEE Transactions on Information Theory, 1963