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基于扰动方法的广义最佳鉴别矢量集求解的一种迭代算法
Alternative TitleAn Iterative Algorithm of Solving Generalized Optimal Set of Discriminant Vectors Based on Perturbation
吴小俊; 杨静宇; 郭跃飞; 王士同; 刘同明
Department机器人学研究室
Source Publication小型微型计算机系统
ISSN1000-1220
2003
Volume24Issue:3Pages:483-486
Indexed ByCSCD
CSCD IDCSCD:1295877
Contribution Rank1
Funding Organization国家自然科学基金课题 (编号:60 0 72 0 3 4)资助;;中国科学院沈阳自动化研究所机器人学研究室基金资助 (编号 :RL2 0 0 10 8);;江苏省自然科学基金课题 (BK2 0 0 2 0 0 1)资助 ;;江苏省高校自然科学研究计划项目(编号 :0 1KJB5 2 0 0 2 )的资助
Keyword模式识别 特征抽取 鉴别分析 广义最佳鉴别矢量集 人脸识别
Abstract本文对广义最佳鉴别矢量的求解方法进行研究 ,根据矩阵的扰动理论 ,改进了郭提出的求解广义最佳鉴别矢量的一种迭代算法 ,提出了求解广义最佳鉴别矢量的一种新的迭代算法 .本文算法的一个突出优点是随着类别数目的增加 ,计算时间反而缩短 ;而老算法随着类别数目的增加计算时间随着增加 ;不仅如此 ,新算法的识别率不劣于老算法 .在 ORL人脸数据库的数值实验 ,验证了上述论断的正确性
Other AbstractA study has been made on the algorithm of solving generalized optimal set of discriminant vectors in this paper.A new iterative algorithm of solving generalized optimal set of discriminant vectors is proposed on the basis of the improvement of the algorithm by Guo with perturbation theory of matrix.The most obvious advantage of the proposed algorithm is that the computation time decreases when the number of classes increases.However,the characteristics of the conventional algorithm is that the computation time increases when the number of classes increases.Further more,the recognition rate of the proposed algorithm is not less than that of Guo's algorithm under most circumstances.These statements are supported by the numerical simulation experiments on facial database of ORL.
Language中文
Citation statistics
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/3186
Collection机器人学研究室
Corresponding Author吴小俊
Affiliation1.南京理工大学信息学院
2.复旦大学计算机系
3.华东船舶工业学院
4.中国科学院沈阳自动化研究所机器人学重点实验室
Recommended Citation
GB/T 7714
吴小俊,杨静宇,郭跃飞,等. 基于扰动方法的广义最佳鉴别矢量集求解的一种迭代算法[J]. 小型微型计算机系统,2003,24(3):483-486.
APA 吴小俊,杨静宇,郭跃飞,王士同,&刘同明.(2003).基于扰动方法的广义最佳鉴别矢量集求解的一种迭代算法.小型微型计算机系统,24(3),483-486.
MLA 吴小俊,et al."基于扰动方法的广义最佳鉴别矢量集求解的一种迭代算法".小型微型计算机系统 24.3(2003):483-486.
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