Statistical Recognition of Multivariate Non-Gaussian Patterns

被引：0
|
作者：
V. S. Mukha
机构：
[1] Belarussian State University of Informatics and Radioelectronics,
来源：
Automation and Remote Control | 2001年 / 62卷
关键词：
Mechanical Engineer; Pattern Distribution; Modeling Experiment; System Theory; Decision Rule;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Statistical recognition of multivariate patterns is investigated for the case in which the attribute vectors of patterns have non-Gaussian distributions and only the moments of these distributions are known. A recognition approach based on the approximation of pattern distributions by Gram–Charlier series and use of the Bayes decision rule is developed. New decision rules are designed. A computer-aided modeling experiment is described.
引用
收藏
页码：580 / 589
页数：9
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