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Foley-Sammon鉴别矢量集理论分析及优化模型
引用本文:徐勇杨强,杨静宇. Foley-Sammon鉴别矢量集理论分析及优化模型[J]. 计算机科学, 2003, 30(9): 64-66
作者姓名:徐勇杨强  杨静宇
作者单位:南京理工大学计算机科学系,南京,210094;南京理工大学计算机科学系,南京,210094;南京理工大学计算机科学系,南京,210094
摘    要:The attribute of the maximum of R(ξ) in arbitrary subspace of Rn is discussed dedicatedly. The theory anal-ysis indicates that every F-S discriminant vector is better than respective vector in other discriminant vectors sets,which consist of eigenvectors of sbξ=λswξ. But,the fact that the F-S vectors are statistically correlated degrade the F-S vectors set. Two ways are used to obtain“good“ F-S vectors set. The experiments on Concordia University CEN-PARMI handwritten numeral database suggest that the new vectors set is better than the origin. A new problem mod-el on F-S discriminant vectors set is proposed in this paper. It‘s easily understanding that the problem model is superi-or to the original F-S discriminant vectors set problem model.

关 键 词:模式识别 矢量集 Foley-Sammon 鉴别 理论分析 优化模型

The Theory Analysis on FSDVS and an Optimal Model
XU Yong YANG Qiang YANG Jing-Yu. The Theory Analysis on FSDVS and an Optimal Model[J]. Computer Science, 2003, 30(9): 64-66
Authors:XU Yong YANG Qiang YANG Jing-Yu
Abstract:
Keywords:Pattern recognition  F-S discriminant vectors set  Feature extraction  Optimal model  
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