This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
An Adaptive Procedure for Multiclass Pattern Classification
February 1968 (vol. 17 no. 2)
pp. 178-182
Abstract?A more general adaptive procedure for determining linear or piecewise linear discriminant functions for multiclass pattern classification is proposed. The adaptive procedure is a many-pattern or group-pattern adaptation. The training sequence consists of groups of vectors in matrix form instead of single vectors. The convergence proof shows that this procedure terminates in a finite number of adaptions if the solution exists. A necessary and suffcient condition is developed for testing the linear separability of each subset of (d + 1) samples. Furthermore, the proposed procedure can be implemented with the addition of only a little complexity to existing systems. Computer simulations indecate satisfactory results.
Index Terms:
Index terms?Adaptive procedure, discriminant function, linear separability, multiclass, pattern recognition, single-pattern adaptation, total-pattern adaptation.
Citation:
W.G. Wee, K.S. Fu, "An Adaptive Procedure for Multiclass Pattern Classification," IEEE Transactions on Computers, vol. 17, no. 2, pp. 178-182, Feb. 1968, doi:10.1109/TC.1968.227406
Usage of this product signifies your acceptance of the Terms of Use.