A CEDT opportunities and support vector machine classification and face recognition.
提出了一种机遇CEDT和支持向量机的人脸分类和识别方法。
This article presents a new method of plant classification of iris based on the support vector machine classification principle.
提出了基于支持向量机的分类原理对鸢尾属植物进行分类的方法。
In this thesis, to establish their own sample libraries on the basis of my face, the face image to a support vector machine classification experiments.
本文在自己建立小样本人脸库的基础上，对人脸图像进行了支持向量机分类识别的实验。
Assessment method using the distance-sensitive feature selection on the feature set, and then enters the sensitive features of support vector machine classification.
然后采用距离评估方法对特征集挑选敏感特征，将敏感特征输入支持向量机进行分类。
Particle swarm optimization- support vector machine classification has slightly better result than self-organizing neural networks, but the complexity of network was increased.
粒子群优化支持向量机分类效果稍好，但是增加了网络的复杂度；
The paper explores possible applications of Prior knowledge Support Vector Machine (P-SVM) based data mining algorithm in an automatic TCM syndrome classification system.
目的：探讨带先验知识的支持向量机（P-SVM）数据挖掘算法在中医证候信息自动分类中的应用。
This paper presents a Support Vector Machine (SVM) method for classification of dynamic power quality disturbances.
论文将支持向量机引入到动态电能质量分类问题中。
This paper introduces a text filtering system merging topic classification based on vector space model and sentiment classification based on support vector machine.
该文介绍了一种文本过滤算法，该算法把基于空间向量模型的主题分类算法与基于支持向量机文本态度分类结合起来。
Aiming at recognizing ship target in high resolution satellite images, a classification method based on Support Vector Machine (SVM) is proposed.
针对高分辨率遥感图像舰船目标识别问题，提出了一种基于支持向量机的舰船目标分类方法。
Aiming at the pattern recognition of traffic flows in elevator group control systems, a method based on the multi-value classification SVM (Support Vector Machine) is put forward.
针对电梯群控调度中的交通流模式识别问题，提出了一种基于多值分类支持向量机的电梯交通流模式识别方法。
We also discussed the application of support vector machine in multivariate classification with some examples.
还对支持向量机在多元分类中的应用进行了讨论，并给出了实例。
Presents an efficient method of fabric defect classification based on cluster analysis and support vector machine (SVM).
提出一种基于聚类分析和支持向量机(SVM)的布匹瑕疵分类方法。
Support vector machines (SVM) are a kind of novel machine learning methods, based on statistical learning theory, which have been developed for solving classification and regression problems.
支持向量机是一种基于统计学习理论的新颖的机器学习方法，该方法已广泛用于解决分类和回归问题。
Compared with multivariate statistics and artificial neural networks, support vector machine based on structure risk minimization has better classification performance.
与统计分析和神经网络相比，基于结构风险最小的支持向量机有更好的分类性能。
By using rough set theory, this paper structures classification rules and processes the support vector machine feedback results with learning the train set.
利用粗糙集理论，通过对训练集的学习，构造分类规则，对支持向量机反馈后的结果再次进行处理。
Support vector machines (SVM) are a kind of novel machine learning methods based on statistical learning theory, which has been developed to solve classification and regression problems.
支持向量机是一种基于统计学习理论的新颖的机器学习方法，该方法已广泛用于解决分类和回归问题。
Through support vector machine algorithms for gene expression data classification training, SVMs provide a effective way for analysis of gene expression data.
通过支持向量机训练算法对基因表达数据进行分类训练，为分析基因数据提供有效的手段。
Recent years, support vector machine has obtained great success in the fields of handwriting identification, human face identification, text classification and so on.
近年来，支持向量机在手写体识别、人脸识别、文本分类等领域取得了很大的成功。
Furthermore, combined with the nearest distance classifier, the support vector machine (SVM) is used for classification.
然后再以支持向量机(SVM)和最近邻分类法相结合组成分类器进行分类。
Compared with the single suppo vector machine method, the support vector machine ensemble method has better classification accuracy.
模拟实验结果表明，该方法具有明显优于单一支持向量机的更高的分类准确率。
The classification mechanism of support vector machine (SVM) was analyzed in detail. The one dimensional image of radar target was recognized by SVM.
研究了支撑矢量机的分类机理，并利用支撑矢量机对雷达目标一维像进行了识别。
A new two-stage method of fingerprint classification is proposed that is based on hidden Markov model (HMM) and support vector machine (SVM).
提出了一种利用隐马尔可夫模型(HMM)和支持向量机(SVM)的两级指纹分类新方法。
A classification method based on Support Vector Machine (SVM) is given in the digital modulation signal classification.
给出了一种基于支持向量机的数字调制信号分类器设计方法。
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。
More over, Support Vector Machine is also proposed for classification of small samples.
另外，本文还通过实证对支持向量机的小样本分类性能进行说明。
The high generalization ability of Support Vector Machine (SVM) makes it especially suitable for the classification of high-dimension data such as term-document.
支持向量机(SVM)高度的泛化能力使它特别适用于高维数据例如文档的分类。
Then a support vector machine classifier is constructed and applied to ECG classification. Comparing with the classification of ECG by eyes, the classification results is much more precise.
然后基于支持向量机算法构造了支持向量机分类器，将其用于心电图分类，取得了较高的准确率。
Secondly, the text studies the Statistical Learning Theory(STL) and Support Vector Machine(SVM)theory seriously, discusses multi-category classification algorithms of SVM.
其次，认真研究了统计学习理论的主要内容和SVM算法的基本原理，并且就SVM的多种多类别分类算法分别加以讨论。
Artificial Neural Networks and Support Vector Machine were selected to test classification accuracy and the test results were analyzed.
选取人工神经网络和支持向量机进行分类准确性测试，并对测试结果做出分析。
Artificial Neural Networks and Support Vector Machine were selected to test classification accuracy and the test results were analyzed.
选取人工神经网络和支持向量机进行分类准确性测试，并对测试结果做出分析。
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