APPLICATION OF KARHUNEN-LOEVE EXPANSION TO FEATURE SELECTION AND ORDERING

APPLICATION OF KARHUNEN-LOEVE EXPANSION TO FEATURE SELECTION AND ORDERING
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DOI:
10.1109/t-c.1970.222918
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发表时间:
1970-01-01
影响因子:
3.7
通讯作者:
KOONTZ, WLG
KOONTZ, WLG
中科院分区:
计算机科学2区
文献类型:
--
作者:
FUKUNAGA, K;KOONTZ, WLG

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Karhunen-Lo 6ve展开以前曾用于提取重要特征,以表示从给定分布中提取的样本。本文开发了一种方法,以使用Karhunen-Loeve展开来提取与从两个模式类中的一个获取的样本的分类相关的特征。数值例子来说明该技术。
The Karhunen-Lo6ve expansion has been used previously to extract important features for representing samples taken from a given distribution. A method is developed herein to use the Karhunen-Loeve expansion to extract features relevant to classification of a sample taken from one of two pattern classes. Numerical examples are presented to illustrate the technique.