OBLIQUE PROJECTION REALIZATION OF A KERNEL-BASED NONLINEAR DISCRIMINATOR

作     者：Liu Benyong Zhang Jing 

作者机构：Schoole of Electronic Engineering University of Electronic Science and Technology of China Chengdu 610054 China 

基　　金：Supported by the key project of Chinese Ministry of Education(No.1051150) 

出 版 物：《Journal of Electronics(China)》 (电子科学学刊（英文版）)

年 卷 期：2006年第23卷第1期

页      码：94-98页

摘      要：Previously, a novel classifier called Kernel-based Nonlinear Discriminator (KND) was proposed to discriminate a pattern class from other classes by minimizing mean effect of the latter. To consider the effect of the target class, this paper introduces an oblique projection algorithm to determine the coefficients of a KND so that it is extended to a new version called extended KND (eKND). In eKND construction, the desired output vector of the target class is obliquely projected onto the relevant subspace along the subspace related to other classes. In addition, a simple technique is proposed to calculate the associated oblique projection operator. Experimental results on handwritten digit recognition show that the algorithm performes better than a KND classifier and some other commonly used classifiers.

主 题 词：Pattern recognition Nonlinear classifier Kernel-based Nonlinear Discriminator(KND) Extended KND(eKND) Handwritten digit recognition 

学科分类：08[工学] 080203[080203] 0802[工学-机械学] 

D　O　I：10.1007/s11767-004-0036-z

馆 藏 号：203193486...