Generalization of a recognition algorithm based on the Karhunen-Loeve Transform

被引：0

作者：

Gianfelici, Francesco ^{[1
]}

Turchetti, Claudio ^{[1
]}

Crippa, Paolo ^{[1
]}

Battistelli, Viviana ^{[1
]}

机构：

[1] Univ Politecn Marche, Dipartimento Elettronica Intelligenza Artificiale, I-60131 Ancona, Italy

来源：

KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS: KES 2007 - WIRN 2007, PT I, PROCEEDINGS | 2007年 / 4692卷

关键词：

Karhunen-Loeve transform; recognition algorithm; signal; classification; stochastic processes;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a generalization of a recognition algorithm that is able to classify non-deterministic signals generated by a set of Stochastic Processes (SPs), the number of which may be arbitrarily chosen. This generalized recognizer exploits the nondeterministic trajectories generated by the Karhunen-Loeve Transform (KLT) with no additional constraints or explicit limitations, and without the probability density function (pdf) estimation. Several experimentations were performed on SPs generated as solutions of non-linear differential equations with parameters and initial conditions being random variables. The results show a recognition rate which is close to 100%, thus demonstrating the validity of the generalized algorithm.

引用

页码：463 / +

页数：2

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