主向量

Chemometrics analysis such as principal component analysis , radial basis function neural network, support vector machine are explored to find the suitable modeling techniques.

利用数据库中的近红外光谱数据，将主成分分析、神经网络和支持向量机等化学计量学方法，应用于近红外光谱分析。

The WYD method is improved on the basis of analysis and research of free interface modal synthesis method that regards the Ritz vector formed by WYD method as reserved main modal set, and influence of modal truncation on synthesis precision is discussed.

在分析研究了以WYD法形成的Ritz向量作为保留主模态集的自由界面模态综合法基础上，改进了WYD方法，并讨论了模态截误差对综合精度的影响。

A new approach-two dimensional principal component analysis(2DPCA) is developed for face recognition. 2DPCA approach dont need to transform the image matrix into feature vector. It directly uses the image matrix to construct the sample covariance matrix.

5研究了二维主成分分析(2DPCA)方法，2DPCA方法不需要先将图像矩阵展开成一维向量，而是直接利用图像矩阵来构建样本协方差矩阵，所以2DPCA比PCA的识别时间更短，识别更高。

Then, kernel principal component analysis and support vector machines with optimal parameters are proposed to classify driving mental fatigue.

然后用核主分量分析和优化支持向量机对基于脑电信号的驾驶精神疲劳进行分级。

A novel approach to face recognition based on the common vector combined with 2-dimensional principal component analysis (2DPCA) is proposed in this paper.

摘要提出了一种基于共同向量结合2维主成分分析(2-dimen-sional principal component analysis， 2DPCA)的人脸识别方法。

This paper proposed a new hierarchical speaker identification system based on Multi-Reduced Support Vector Machine and Principal Component Analysis classifier to reduce the recognition time of speaker identification.

提出一种基于主成分分析和多约简支持向量机的多级说话人辨识方法。

This paper proposes a general method based on Principal Component Analysis to analyze network anomalies. The method divides the traffic matrix into normal subspace and anomalous subspace, maps the traffic vector into normal subspace, gets the distance from detected vector to average normal vector, and detects anomalies based on that distance.

文章提出一种分析网络异常的通用方法，该方法运用主成分分析手段将高维空间划分为对应正常和异常网络行为的子空间，并将流量向量影射在正常子空间中，使用基于距离的度量来检测宏观网络流量异常事件。

Instead of statistical description, a feature subspace with the base of some significant eigen vector extracted from covariance matrix is constructed to describe speech feature distribution of speaker. Distance metrics for measuring distance between input feature vector and subspace are also proposed for pattern matching.

说话人语音训练样本提取特征后在语音特征观察空间形成具有一定散度的分布，根据主元分析原理和分布散度提取主要散度本征向量作为基底构成说话人语音特征子空间，并通过测试语音特征矢量与子空间的距离测度进行模式匹配。

The method divides the traffic matrix into normal subspace and anomalous subspace, maps the traffic vector into normal subspace, gets the distance from detected vector to average normal vector, and detects anomalies based on that distance.

文章提出一种分析网络异常的通用方法，该方法运用主成分分析手段将高维空间划分为对应正常和异常网络行为的子空间，并将流量向量影射在正常子空间中，使用基于距离的度量来检测宏观网络流量异常事件。

Compared to state-of-the-art methods based on Kohonen's adaptive-subspace self-organizing map, our method avoids confusion of data in the manifold representation. Each neuron in the network approximately learns the mean vector and principal subspace of the data in its local region. The data representation is therefore more discernable.

与现有的基于Kohonen的自适应子空间自组织映射网络(Adaptive-subspace self-organizing map， ASSOM)方法相比较，本文方法有效地克服了流形表达中出现的数据混淆现象，网络中各神经元渐近学习各自区域内样本数据的平均向量和主元子空间，数据表达更加清晰可辨。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。