The multi-class SVM has recently been extensively applied in the field of pattern recognition.
目前SVM多类分类方法在模式识别领域得到了广泛使用。
The transformative algorithm based on SVM, multi-class SVM and model selection are also presented.
介绍了支持向量机的变形算法、多类分类算法及模型选择问题；
The presented multi-class SVM is of better classification ability and can solve the unclassifiable region problems int.
新的多类SVM在一定程度上解决了传统投票决策方法的不可分区域问题，因此具有更好的分类性能。
A new method of fault classification for mechanical system by means of support vector machine (SVM) is proposed and a multi-class SVM classifier based on binary classification was developed.
提出了一种利用支持向量机(SVM)对机械系统故障进行分类的新方法；以二值分类为基础，开发了基于支持向量机的多值分类器。
To improve the adaptability and effectiveness of recognition on abnormal condition, a self-adaptive alarm method for equipment condition based on one-class support vector machine (OC-SVM) is proposed.
为了提高对异常状态识别的适应性和有效性，提出了一种基于一类支持向量机的设备状态自适应报警方法。
This paper presents a novel algorithm for quasi-frontal face recognition based on the wavelet decomposition technique and a multi-class Support Vector Machine (SVM) model.
基于小波分解提取人脸特征技术和多分类支持向量机模型，提出了一种新的准正面人脸识别算法。
The methods of diagnostic gene selection for multi-class diseases based on SVM are studied in this paper.
本文针对基于SVM的多病类诊断基因选择方法进行了研究。
In the real world most of the data is multi-class data, so the simple SVM need for further expansion, so that it can solve the multi-value classification.
而现实世界中的大部分数据都是多类数据，所以需要对简单支持向量机作进一步扩展，使之能解决多值分类问题。
Finally, based on basic research of multi-class categorization of SVM, the text applies the theory to practice and analyzes a web text categorization model based on SVM network.
最后在完成基于SVM多类别分类的理论研究的基础上，将其理论应用于实践，构建了一个了基于SVM的网络文本分类模型。
The shot key frames are classified by SVM and the frames constructing the video summarization are selected from the shot key frames of every class by the importance function introduced.
利用支持向量机对镜头关键帧进行语义分类，对每类镜头关键帧根据引入的镜头“重要性”函数提取构建视频摘要的帧。
This paper introduces "one-against-one" approach, which is a multi-class classification method of SVM.
在两类分类的基础上介绍了一种基于SVM的多类分类算法———一对一分类法，并将其用于中国茶叶的分类。
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。
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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