查询词典 feature vector

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。

In this paper, we have used the theory of moment invariant to identify the orbit, constructed feature vector based on moment invariant, defined the distance between the two feature vectors, and proposed a new method of the identification, which ...

仿真与实验结果表明，该方法可以有效地识别常见的轴心轨迹，并收到了良好的效果

After feature dimension reduction by Linear Dircriminant Analysis to formulate compact feature vector,...

通过实验选取恰当的分类器参数后，在容量为 177，6 0 0字符(30 0样本/字符类)的测试集上的识别率达到 99.79%，证明了该方法的有效性

Gabor-ring is often used in texture feature extraction, but it is based on the assumption that texture is narrowband signal and can not applied to most actual textured images that have more than one center frequency in power spectrum. To overcome the limitation of existing method, an improved method is proposed. According to this method, Gabor filters are constructed in accordance with the spectrum feature vector of texture, and a relaxation parameter is used to determine the effect of difference filters so as to integrate the frequencies and phases into the process of extraction.

Gabor环（即在频率域成环形分布的Gabor滤波器组）常被用于提取图像纹理特征，但它是以"纹理是窄带信号"为基础的，实际的纹理图像并不能很好地满足"窄带信号"的假设，用一个中心频率来描述一种纹理对能量集中在多个频率点的纹理图像往往不能取得理想的效果，而根据频谱特征值向量构造Gabor环的改进方法，通过松弛因子的加入改变不同滤波器的作用强度，综合考虑了多频率多相位对纹理特征提取的影响。

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。

This method use the silhouette of object in image as feature, after approaching with polylateral, a serious control point can be got, the feature vector of object's contour can be got by calculating the parameter of AR model, which use the sequence of angles got from control points.

该方法以目标二维方面图轮廓为特征，经多边形逼近获得边界控制点，计算出边界控制点对应角序列的AR系数作为相应方面图的特征向量，建立三维目标的在各种姿态下的姿态特征库。

This classfier extracts the feature vector of each samples and documents to be classified by using the feature extraction algorithm. Web page was classfied by using the K-Nearest-Neighbor classification algorithm. The experimental results show that this auto classifier based on Web minning can fetch insecurity Web pages, and its classification is effective.

该自动分类器利用特征提取算法实现对每个样本的特征向量提取和待分类文本的特征向量提取，利用基于k个&最近邻&分类算法实现对网页的分类，能够提取出带有不安全信息的网页，分类效果良好。

The method firstly organizes support vectors in clusters in feature space, and then,it finds the pre-images of the cluster centroids in feature space to construct a reduced vector set.

此方法首先在特征空间中对支持向量进行聚类，然后寻找特征空间中的聚类中心在输入空间中的原像以形成约简向量集。

The key to feature extraction is to select the optimal feature combination from all the features. In this study, the optimal color feature combination,{/G,(R+4G+B)/6, H variance, S variance}, is selected using genetic neural network at first. Then the main texture features including the mean, variance, energy and entropy of the cooccurrence matrix, the secondary texture features including the maximum frequency number, absolute uniform, inertia and importance of the co-occurrence matrix are extracted.

在此基础上，提出适合多阈值和小目标图像分割的免疫遗传图像分割方法，该方法借鉴了生物免疫系统自调节、抗原识别和记忆功能，并结合了遗传算法对图像进行自适应区域的阈值分割，改善了遗传算法优化复杂问题时存在收敛速度慢和易陷于局部最优的不足，克服了传统阈值分割方法对目标大小的限制，是一种新型的有效的图像分割方法。

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。

Chinese traditional virtue is humility and wariness,the compliment and praise to the others should be declination

中国人的传统美德是谦虚谨慎，对别人的恭维和夸奖应是推辞。如

We bought this house on the never-never.

我们以分期付款的方式买下这座房子。