| 鉴别矢量集方法的改进与比较 |
| |
| 引用本文： | 徐戈,张祖昌.鉴别矢量集方法的改进与比较[J].闽江学院学报,2004,25(5):41-43. |
| |
| 作者姓名： | 徐戈 张祖昌 |
| |
| 作者单位： | 闽江学院计算机科学系,福建,福州,350108 |
| |
| 摘 要： | 结合Foley—Sammon最佳鉴别矢量集方法和统计不相关最佳鉴别矢量集方法，本文给出了正交线性无关鉴别矢量集方法。为了对已得到的鉴别矢量集方法进行分析比较，使用Matlab编程实现了有关算法，并采用UCI中典型数据集以及ORL人脸图像数据库进行测试。根据测试结果，对各种鉴别矢量集方法做出了比较。
|
| 关 键 词： | 模式识别 特征抽取 Fisher判别准则 鉴别矢量 |
| 文章编号： | 1009-7821(2004)05-041-03 |
| 修稿时间： | 2004年8月10日 |
Improvement And Comparison Of Discriminant Vector Methods |
| |
| XU Ge ZHANG Zu-chang.Improvement And Comparison Of Discriminant Vector Methods[J].Journal of Minjiang University,2004,25(5):41-43. |
| |
| Authors: | XU Ge ZHANG Zu-chang |
| |
| Abstract: | In this paper, combining Foley-Sammon transformation(FST) and uncorrelated discriminant vector method(UDV), uncorrelated and orthogonal discriminant vector method(UODV) is derived. In order to analyze various discriminant vector methods, some relevant feature extraction algorithms are programmed using Matlab, and tested on the classical datasets from UCI as well as ORL face database. Based on the results of test, all discriminant vector methods concerned are compared. |
| |
| Keywords: | Pattern Recognition Feature Extraction Fisher Criterion Discriminant Vector |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
