This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
A Classifier for Feature Vectors Whose Prototypes are a Function of Multiple Continuous Parameters
July 1988 (vol. 10 no. 4)
pp. 599-606

A fast, compact continuous-parameter (CP) classifier, suitable for a 16-bit microprocessor, is developed for classes which consist of a prototype manifold which is a function of one or more continuous parameters. The classification method consists of approximating the manifold by a number of unit cells and assigning a test vector to the closest cell using a Euclidean distance measure. An experiment is described in which computer-generated magnetic dipole moments are used as feature vectors to classify a set of homogeneous ferrous spheroids. The CP classifier provides accurate estimates of the orientation angles of the test object with error equal to a small fraction of the design set increment (1 degrees out of 15 degrees ).

[1] J. W. Sammon, Jr., "Interactive pattern analysis and classification,"IEEE Trans. Comput., vol. C-19, p. 594, 1970.
[2] J. T. Tou and R. C. Gonzalez,Pattern Recognition Principles. London: Addison-Wesley, 1974.
[3] R. H. Chesney, Y. Das, J. E. McFee, and M. R. Ito, "Identification of metallic spheroids by classification of their electromagnetic responses,"IEEE Trans. Pattern Anal. Machine Intell., vol. PAMI- 19, p. 809, 1984.
[4] K. S. Shanmugam, "On a modified form of Parzen estimator for non-parametric pattern recognition,"Pattern Recognition, vol. 9, p. 167, 1977.
[5] V. A. Kovalevsky, "On the correlation method of recognition," inCharacter Readers and Pattern Recognition, V. A. Kovalevsky, Ed. New York: Spartan, 1968, p. 38.
[6] M. I. Shlesinger, "The correlation method of recognizing pattern sequences," inCharacter Readers and Pattern Recognition, V. A. Kovalevsky, Ed. New York: Spartan, 1968, p. 53.
[7] T. K. Vintsyuk, "Speech discrimination by dynamic programming,"Kibernetika, vol. 4, p. 81, 1968.
[8] J. R. Rice, "Experiments on Gram-Schmidt orthonormalization,"Math. Comput., vol. 29, p. 325, 1966.
[9] J. E. McFee and Y. Das, "Fast nonrecursive method for estimating the location and dipole moment components of a static magnetic dipole,"IEEE Trans. Geosci. Remote Sensing, vol. GE-24, 1986.
[10] J. E. McFee, M. Bell, B. Dempsey, R. H. Chesney, and Y. Das, "A magnetostatic signature measurement and analysis system,"J. Phys. E: Sci. Instrum., vol. 18, p. 54, 1985.
[11] R. P. Duin, "On the choice of smoothing parameters for Parzen estimators of probability density functions,"IEEE Trans. Comput., vol. C-25, p. 1175, 1976.
[12] J. Stratton,Electromagnetic Theory. New York: McGraw-Hill, 1941.
[13] Y. Das, J. E. McFee, and M. Bell, "Detection and identification of buried ordnance by magnetic and electromagnetic means (U)," Defence Res. Establishment Suffield, Ralston, AB, Canada, Suffield Rep. 283, 1981.
[14] G. Arfken,Mathematical Methods for Physicists. New York: Academic, 1970.

Index Terms:
feature vector classifier; computerised pattern recognition; multiple continuous parameters; Euclidean distance; computerised pattern recognition; vectors
Citation:
J.E. McFee, Y. Das, "A Classifier for Feature Vectors Whose Prototypes are a Function of Multiple Continuous Parameters," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 10, no. 4, pp. 599-606, July 1988, doi:10.1109/34.3922
Usage of this product signifies your acceptance of the Terms of Use.