PLS and Kernel-based Nonlinear Representor for Face Recognition

摘要：

This paper presents a face recognition method, wherein features are extracted successively with fast Fourier transform and the partial least squares to extract discriminative features, and classification results are obtained by a classifier based on the closed-form solution of kernelbased nonlinear representor for avoiding the quadratic programming proceduce of a nonlinear SVM. Experimental results on the ORL face database demonstrate the effectiveness of the presented scheme.

关键词： Partial Least Squares Nonlinear classifier Kernel-based Nonlinear Representor Face Recognition

作者: Yegang Hu Yunfei Yao

作者单位: Department of Mathematics and Computational Science Fuyang Normal College Fuyang, China

会议类型: 国际会议

会议名称: 2010 International Conference on Information Security and Artificial Intelligence(2010年信息安全与人工智能国际会议 ISAI 2010)

会议地点: 成都

会议语种:英文

页码: 1537-1540

在线出版日期: 2010-12-17（万方平台首次上网日期，不代表论文的发表时间）