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个人信息Personal Information
教授
博士生导师
硕士生导师
性别：男
毕业院校：夏威夷大学
学位：博士
所在单位：信息与通信工程学院
学科：信号与信息处理. 通信与信息系统. 计算机应用技术
办公地点：大连理工大学 创新园大厦 A530
联系方式：Email： cguo@dlut.edu.cn Tel: 15040461863(Mobile phone)
电子邮箱：cguo@dlut.edu.cn
A two-pass classification method based on hyper-ellipsoid neural networks and SVM's with applications to face recognition
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论文类型：会议论文
发表时间：2007-06-03
收录刊物：EI、CPCI-S
卷号：4493
期号：PART 3
页面范围：461-+
摘要：In this paper we propose a two-pass classification method and apply it to face recognitions. The method is obtained by integrating together two approaches, the hyper-ellipsoid neural networks (HENN's) and the SVM's with error correcting codes. This method realizes a classification operation in two passes: the first one is to get an intermediate classification result for an input sample by using the HENN's, and the second pass is followed by using the SVM's to re-classify the sample based on both the input data and the intermediate result. Simulations conducted in the paper for applications to face recognition showed that the two-pass method can maintain the advantages of both the HENN's and the SVM's while remedying their disadvantages. Compared with the HENN's and the SVM's, a significant improvement of recognition performance over them has been achieved by the new method.