Class-specific feature sets in classification

被引：0

作者：

Bagenstoss, PM ^{[1
]}

机构：

[1] USN, Undersea Warfare Ctr, Newport, RI 02841 USA

来源：

IEEE TRANSACTIONS ON SIGNAL PROCESSING | 1999年 / 47卷 / 12期

关键词：

classification; class-specific features; sufficiency;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this correspondence, we present a new approach to the design of probabilistic classifiers that circumvents the dimensionality problem. Rather than working with a common high-dimensional feature set, the classifier is written in terms of likelihood ratios with respect to a common class using sufficient statistics chosen specifically for each class.

引用

页码：3428 / 3432

页数：5

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