Application of the Karhunen-Loève Expansion to Feature Selection and Ordering
IEEE Transactions on Computers
Interactive Pattern Analysis and Classification
IEEE Transactions on Computers
IEEE Transactions on Computers
On the Mean Accuracy of Hierarchical Classifiers
IEEE Transactions on Computers
Knowledge acquisition from structural descriptions
IJCAI'77 Proceedings of the 5th international joint conference on Artificial intelligence - Volume 1
Discrete visual features modeling via leave-one-out likelihood estimation and applications
Journal of Visual Communication and Image Representation
Hi-index | 14.98 |
This paper presents a new computerized technique to aid the designers of pattern classifiers when the measurement variables are discrete and the values form a simple nominal scale (no inherent metric). A theory of "prime events" which applies to patterns with measurements of this type is presented. A procedure for applying the theory of "prime events" and an analysis of the "prime event estimates" is given. To manifest additional characteristics of this technique, an example optical character recognition (OCR) application is discussed.