This thesis mainly deals with the feature extraction technologies in infrared image and target multi-classification methods.
本文重点研究了红外图像目标的特征提取技术和多目标分类方法。
Directed acyclic graph support vector (DAG - SVMS) multi - category classification methods, is a new multi - category classification methods.
有向无环图支持向量(DAG - SVMS)多类分类方法，是一种新的多类分类方法。
The problems and defections of the existing methods of SVM multi-class classification were analyzed. A multi-class classification based on binary tree was put forward.
介绍了几种常用的支持向量机多类分类方法，分析其存在的问题及缺点。
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