A Kernel-Based Nonlinear Representor with Application to Eigenface Classification
Jing Zhang, Benyong Liu, Hao Tan · 中国电子科技：英文版 · 2004
This paper presents a classifier named kernel-based nonlinear representor (KNR) for optimal representation of pattern features. Adopting the Gaussian kernel, with the kernel width adaptively estimated by a simple technique, it is applied to eigenface classification. Experimental results on the ORL face database show that it improves performance by around 6 points, in classification rate, over the Euclidean distance classifier.