vector component

Analyze the application of kernel function in SVM including support vector regression ( SVR), kernel time series prediction and kernel principal component analysis ( KPCA) comprehensive evaluation model.

就SVM的核方法在经济预警系统中的应用进行了分析，包括支持向量回归、支持向量时间序列预测方法和核主成分分析（KPCA）多指标综合评价方法，并给出了数据实验。

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On the part of the design of nine-component thrust vector stand, an automatic hydraulic pressure original position calibration system, a scheme of original position calibration, and the great rigidity universal flexible combinatorial underprop are designed.

在推力矢量试车台设计方面，设计了自动液压原位校准系统、原位校准方案以及大刚度万向柔性组合支撑；

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By default, scaleX and scaleY have values of1.Every component contains a protected graphics object, which Flex uses to perform vector drawing.

默认情况下，scaleX和scaleY的值为1。每个组件都包含一个受保护的graphics对象，Flex使用它来执行矢量绘制。

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Proposes a face recognition method which combines independent component analysis ( ICA), fuzzy support vector machine ( FSVM) and triple decision tree.

将独立成分分析（ICA）、模糊支持向量机（FSVM）以及三叉决策树相结合并应用于人脸识别。

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A driver decision-making model is established, and we design the state awareness vector and component value constraints, which can help the driver to make corresponding action decisions, such as acceleration, deceleration and turning.

建立了驾驶员决策模型，设计了状态感知向量及分量取值条件，以便驾驶员能够对当前交通状况和外界环境的感知做出相应加速、减速和转向等决策。

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However, the more IMF component can produce the more characteristic vector, then it will occupy much time in the classification, go against the real-time of realizing fault diagnosis, therefore this paper describes an information separation method based on the difference degree.

然而当IMF分量较多的情况下就会产生较多的特征向量，那么就会在分类时占用较多的时间不利于实现故障诊断的实时性，为此本文提出了基于差异度的信息分离方法。

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Face Recognition by Independent Component Analysis and Fuzzy Support Vector Machine

基于独立成分分析和模糊支持向量机的人脸识别方法

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Face recognition by combining independent component analysis with core vector machines

结合独立成分分析和核向量机进行人脸识别

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The vector sum of the angular momentums of each component particle of an extended body.

动量矩伸展体的每个组成微粒的角动量的矢量值.

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An efficient method of face detection based on Principle Component Analysis ( PCA) incorporating with Support Vector Machine ( SVM) is proposed in this paper.

提出了一种基于主分量分析（PCA）和支持向量机（SVM）相结合的人脸检测方法。

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