特征向量

The support vector machine is one new general learning method,which proposed in the statistical Learning Theory,mainly applied in the data classification and regression estimate,meanwhile the main basis in plant classification is plant's outward characteristic.

支持向量机是在统计学习理论基础上提出的一种新型的通用学习方法，主要应用于数据的分类和回归估计，而植物分类的主要依据是植物的外观特征。

So the computing time of this scheme may be similar to that of Ritz method,but quite less than that of subspace iteration method.

因此，整个计算工作量比子空问迭代法少得多，但由少是从一个初始向量开始迭代，：针兰算时，主要业计算机的舍入误差求衬重特征解。

A concept named"Characteristic rotating vector"of images is brought forward in this dissertation, the rotation of target in the image is only represented by change in sequence of elements in the vector, thus disturbance brought by irregular edge of target and random noise is avoided.

提出了图像的特征旋转矢量的概念，当图像中的目标有旋转时，仅表现为向量元素次序的变化，避免了不规则的目标边缘及随机噪声带来的干扰。

Moreover, singular value decomposition of matrix is fully avoided in the process of feature extraction, so the discriminant features can be gained easily.

受支持向量机理论中有关核技术的启发，该文提出了一种非线性特征抽取方法—基于核的正交补空间法。

Some important properties of singular value vector of color face image were proved, and then it was extracted as algebraic feature and applied to color face recognition.

首先证明了彩色图像的奇异值向量具有代数和几何不变性；然后将其提取为图像的代数特征并应用到人脸识别中。

Some new idea and techniquesabout statistic tangent distance, compute tangent vector based on Singular Value Decomposition,the choice of transformation parameters, dimension decrease based on SVD, feature extractionbased on Mahalanobis distance are proposed in the dissertation.

在统计切线距离、基于奇异值分解求解切线向量、变化参数的选择、基于奇异值分解的降维、基于马氏距离的特征选择等方面提出了自己的新方法。

In this dissertation , the methods of prediction and parameters\' estimation based on stationary multivariate autoregressive models AR(p are studied systematically. Some properties of these methods are formulized.In the first part, it introduce some basal conceptions about multidimensional stationary time series, contained the estimation and property of mean vector and auto-covariance function. Then the stable condition of multidimensional AR models are discussed.

本文主要研究了多维平稳序列自回归模型AR的参数估计及其相关的统计性质，具体内容如下：第一部分，介绍了多维平稳时间序列及其均值向量和协方差阵函数的概念，并引入了多维AR模型及其数字特征，在此基础上给出了模型的平稳性条件。

To do so, at first, we introduce the characteristic triple, the invariant subbundle and invariant vector field.

为此，首先引入了特征三元组的概念，并定义了不变子丛及不变向量场。

Pattern vector and knowledge express based the characteristics of tubercle bacillus are put forward.

同时针对结核细胞的特点，提供了模板匹配算法及其改进策略；提出基于结核杆菌特征的模式向量与知识表示。

This approach first aligned 3D faces based on non-uniform mesh re-sampling which result the uniform number of vertex and topology structure and kept in a vector. Second, we changed the vector to the matrix by division and overlap, and then 2DLDA suggests a feature selection strategy to select the most discriminative features from the corner.

该算法首先使用基于非均匀网格重采样的方法对所有三维人脸做规格化处理，使三维人脸具有统一的点数和拓扑结构；其次，以先分段、再重叠的形式将原本一维向量表示组织为二维矩阵表示，然后使用二维线性判别分析方法(2DLDA)对获得的数据进行特征抽取。

In the negative and interrogative forms, of course, this is identical to the non-emphatic forms.

。但是，在否定句或疑问句里，这种带有"do"的方法表达的效果却没有什么强调的意思。

Go down on one's knees;kneel down

屈膝跪下。。。下跪祈祷