特征向量

SIFT（Scale Invariant Feature Transform） local feature is chosen because of its scale invariance and the property of accurate key-point localization.The Euclidean distance between different SIFT feature vectors is defined as the measure of similarity to get the pre-matched key-point pairs.The affine transform model is used to realize the registration.In order to get the accurate affine transform parameter,the principal of affine transform error is used to get rid of mismatched key-point pairs from the pre-matched pairs.

该方法选取具有良好尺度、旋转不变性以及精确特征点定位能力的SIFT局部特征，使用其特征向量间的欧氏距离作为相似性度量进行特征点匹配，并依据仿射变换误差准则去除奇异匹配特征点对，采用仿射变换的几何模型，实现了遥感图像的快速自动配准。

This paper proposed to use elliptical Gabor filter with least redundancy to convolute with palmprint,sub-bands with 4 scales and 6 directions are obtained,calculate the average and deviation of every sub-band,48D texture feature is extracted,and normalize the 48D feature in the whole database,finally use distance of absolute value to measure the difference between two feature vector.The result shows the arithmetic proposed by this paper has a little high retrieval accuracy.

本文采用最小冗余度的椭圆Gabor滤波器组对掌纹图像滤波，得到4个尺度6个方向的子带，计算每个子带的均值与方差，得到48维的纹理特征，在整个数据库中对48维特征进行归一化，最后采用绝对值距离衡量不同特征向量间的差异。

Through calculating the generalized dimension by covering the signal with n-dimension boxes, three dimension feature vectors including the box dimension, the information dimension and the correlation dimension are got.

首先利用覆盖法求取广义维数得到该语音信号的三维特征向量，包括容量维数、信息维数、关联维数；然后计算信号的维数特征距离；最后根据特征距离对语音信号类别进行决策分类。

Three methods for the computation of the isotropic tensor function,spectral decomposition method,eigenprojection operator method and representation theorem method,are compared.Different approaches to calculate the eigenvalues and their corresponding eigenvectors are also discussed.As an example,the exponent tensor function is calculated.

对计算各向同性对称张量函数的3种方法(谱分解法、特征投影算子法和表示定理法)进行了分析比较，同时也对如何计算特征根与特征向量的技巧进行了探讨，并利用3种方法对指数张量函数进行了实例计算。

Discrete Fourier Transform and Discrete Cosine Transform are used to get the descriptors of lip contours in the unsymmetrical lip contours model automatically. Hidden Markov Model is trained by using both of the descriptors as the eigenvector of lip contours, and then recognition ability is tested.4. Feature fusion is used to improve the classifiable power.

利用离散傅里叶变换和离散余弦变换分别得到描述唇形轮廓特征的傅里叶描述子和离散余弦变换描述子，然后将两类描述子作为唇形轮廓的特征向量，采用隐马尔可夫模型进行学习和识别，分析了两类描述子刻画唇形轮廓特征的能力。4。

In this method, a feature vector with desirable characteristics including spatial locality, frequency and orientation selectivity is obtained by DT-CWT. Then, the dimension of the vector is linearly reduced by ONPP, thus effectively preserving the intrinsic neighborhood geometry of the vector and the global geometry.

先通过DT－CWT得到具有空间、频率以及方向特征的人脸特征表示，然后使用ONPP对特征向量进行线性降维，有效地保持了数据的局部与全局的几何特征，最后进行识别测试。

Based on scale SVD transform, a target feature extracting method is proposed to solve this difficult problem. The experimental result shows that this method has favorable stability to target matrix's SVD feature vectors, and high invariant property to displacement, rotation and scale.

为解决这一技术难题，文中提出了基于尺度奇异值变换的红外图像目标特征提取方法，实验表明该方法提取的目标矩阵的奇异值特征向量具有较好的稳定性，对图像的平移、旋转和比例变化具有良好的不变性，是一种实用的特征提取方法。

The first method is based multi-scale decompression using wavelet theory, it extract gray feature from each channel to form feature vector, it can distinguish objects, but this method not have invariant property when object rotate.

因此随后提出了基于灰度多通道的特征提取方法，该方法是把目标灰度分成几个区段，然后在各灰度区间分别提取目标的灰度特征，形成特征向量。

The course will introduce the basic theory of Linear Algebra including linear equations, Matrix theory and vector space concept. Eigenvalues and eigenvectors are used for describing the characteristics of the system. A set of orthogonal basis vectors represent the vector components and transformation characteristics.

线性代数是利用向量与矩阵特性，解决任何以线性方程式描述之系统，譬如电路系统、通讯系统、控制系统；藉由线性代数之特征值与特征向量，更能深入了解系统之内涵；藉由线性代数正交基底，则能深入了解向量讯号之组成与其转换特性。

First we construct a covariance matrix from sample images, then compute the eigenvalues and corresponding eigenvectors of the covariance matrix, construct a feature matrix with the eigenvectors. Then every images in database can be projected into the feature matrix and gain a projection vector, so does the input image. Then we can judge the resemblance between input image with each image in database by computing the distance between their projection vectors.

我们首先根据采集的样本图像构造一个协方差矩阵，然后求取该矩阵的特征值，以这些矩阵特征值对应的特征向量构造出一个特征空间，然后将输入图像向该特征空间映射，将获取的映射系数与样本库中图像的映射系数进行距离计算，根据计算出的距离判定输入图像与样本图像间的匹配程度。

However, as the name（read－only memory）implies, CD disks cannot be written onorchanged in any way.

然而，正如其名字所指出的那样，CD盘不能写，也不能用任何方式改变其内容。

Galvanizes steel pallet is mainly export which suits standard packing of European Union, the North America. galvanizes steel pallet is suitable to heavy rack. Pallet surface can design plate type, corrugated and the gap form, satisfies the different requirements.

镀锌钢托盘多用于出口，替代木托盘，免薰蒸，符合欧盟、北美各国对出口货物包装材料的法令要求；喷涂钢托盘适用于重载上货架之用，托盘表面根据需要制作成平板状、波纹状及间隔形式，满足不同的使用要求。