A fast method for the Common Vector Approach

Mehmet Koç, A. Barkana
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Abstract

In this paper a new method is proposed to perform the Common Vector Approach(CVA). While CVA performs the classification with respect to the distance between vectors, the new method performs the classification with respect to the scalars. In experimental work, AR face database is used. Method performs the classification approximately 2 times faster than the classical calculations in AR face database.
公共向量法的一种快速方法
本文提出了一种实现公共向量法的新方法。CVA是根据向量之间的距离进行分类,而新方法是根据标量进行分类。在实验工作中,使用了AR人脸数据库。该方法的分类速度比AR人脸数据库中的经典算法快约2倍。
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