Abstract: We consider the technique using nonsmooth optimization methods for pattern recognition problems. The results of numerical experiments of comparison of the proposed approach with support vector machines are presented.

Keywords: cluster, decision rule, discriminant function, linear and nonlinear programming, nonsmooth optimization

ACM Classification Keywords: G.1.6 Optimization - Gradient methods, I.5 Pattern Recognition; I.5.2 Design Methodology - Classifier design and evaluation

Link:

NON SMOOTH OPTIMIZATION METHODS IN THE PROBLEMS OF CONSTRUCTING A LINEAR CLASSIFIER

Yurii I. Zhuravlev, Yuryi Laptin, Alexander Vinogradov, Nikolay Zhurbenko, Aleksey Likhovid

http://www.foibg.com/ijima/vol01/ijima01-2-p01.pdf