An algorithm for the learning of weights in discrimination functions using a priori constraints

被引：29

作者：

Kruger, N

机构：

[1] Institute Für Neuroinformatik, Ruhr-Universität Bochum, ND 03, 44801 Bochum

来源：

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE | 1997年 / 19卷 / 07期

关键词：

discrimination functions; a priori knowledge; weighting; face recognition; elastic graph matching;

D O I：

10.1109/34.598233

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We introduce a learning algorithm for the weights in a very common class of discrimination functions usually called ''weighted average.'' The learning algorithm can reduce the number of free variables by simple but effective a priori criteria about significant features. Here we apply our algorithm to three tasks of different dimensionality all concerned with face recognition.

引用

页码：764 / 768

页数：5

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