最后根据不变矩特征的欧氏距离识别出目标。
At last, the target was recognized according to Euclid distance of moment invariants.
对未知目标，以其子像对库矢量的欧氏距离最小为分类准则，进行了识别模拟实验。
Using the subimage of an unknown target as feature vector and minimum distance rule for target recognition, experiments on simulated data are done.
传统TOPS IS方法采用固定的欧氏距离作为距离度量，各属性间的补偿关系固定。
Euclid distance metric was adopted in the Traditional TOPSIS, it leads to the problem that the compensatory relationships between each properties are fixed.
同时将样本之间的模糊相似性映射到样本之间的欧氏距离，即将高维样本映射到二维平面。
The fuzzy similarity between two samples is mapped into their Euclidean distance, that is, the high dimensional samples are mapped into the two dimensional plane.
将待检索图像所有值域块的欧氏距离求平均，此平均欧氏距离较小的几幅图像即为检索出的图像。
Average the Euclid distances of all the range blocks in the retrieval image, then the images whose average Euclid distances are smaller are selected as the retrieval images.
首先建立环境的高斯背景模型，从步态视频序列中提取轮廓图像，计算质心以及轮廓线上的点到质心的欧氏距离。
It creates Gaussian Mixture Model for each scenario, and contour of gait is extracted from binary silhouette for Euclidean distance between the centroid and any pixel on it.
以四状态网格编码8PS K系统为例，计算了维特比译码时错误路径的欧氏距离谱及由此得到的误比特率上限。
As an example, we calculate the Euclidean distance spectrum of error paths under viterbi decoding and BER upper bound for four-state Trellis-coded 8 PSK.
通过矢量，开发人员可以使用各种指标(比如说曼哈顿距离、欧氏距离或余弦相似性)来计算两个项目之间的距离。
Given the vectors, one can calculate the distance between two items using measures such as the Manhattan distance, Euclidean distance, or cosine similarity.
在平均欧氏距离系数基础上，运用UPGMA法，对甘草属12个类群的核型资料进行了Q型聚类分析。
In this paper, based on average Eucli dean distance coefficient, using UPGMA, Q cluster analysis for karyotype of 12taxa in genes glycyrrhiza L. have been conducted.
基本解方法属于径向基函数类方法，它使用微分算子的基本解作为基于欧氏距离的径向基函数。
The method of fundamental solutions(MFS), one of the radial basis function(RBF) methods, employs the fundamental solutions to the governing differential operator as the Euclidean distance based RBF.
连续相位调制的最佳相于解调的误码性能取决于其最小平方欧氏距离。
The error performance of continuous phase modulation (CPM)with optimal coherent detection depends on its minimum squared Euclidean distance(MSED).
首先，利用共线性和欧氏距离不变性这两个特性可以求得图像中的点在相机坐标系（CCS）中的坐标。
First, the counterparts of the points on image in camera coordinate system (CCS) are found by utilizing two properties, namely collinearity and Euclidean distance invariability.
通过以全体样本对全体类别加权广义欧氏权距离平方和最小为目标函数，建立了模糊聚类、识别与优选决策统一的理论与循环迭代模型。
With the minimum square sum of weighted Euclidean distances as the objective function, the unified theory and cyclical iteration model of fuzzy cluster, recognition and optimum decision are founded.
连续相位调制(CPM)的最佳相干解调的译码性能取决于其最小平方欧氏距离。
The error performance of continuous phase modulation (CPM) with optimal coherent detection depends on the minimum squared Euclidean distance (MSED).
同时提出采用贡献分析法确定情感特征参数的权值，利用加权欧氏距离模板匹配识别语音情感。
A speech emotion recognition method is also presented based on weighted Euclidean distance template matching, in which the weights of features are calculated by the method of contribution analysis.
针对转子振动时间序列中异常数据的检测问题，采用欧氏距离进行匹配计算，在实数域实现了负向选择算法。
For the anomaly detection in the vibration time series of the rotor system, a real-valued negative selection algorithm based on Euclidean distance has been implemented.
结果表明，SVM分类器的识别性能优于最小欧氏距离分类器，且KDDA特征的识别性能最优。
The experimental results show that the KDDA features achieve the best recognition performance, and the SVM classifier outperforms the minimum Euclidean distance classifier.
该方法将欧氏距离和灰色关联度有机结合，构造了一种新的相对贴近度以实现对方案的评价。
This method established a new kind of relative similarity degree by combining the Euclidean distance with grey correlation degree.
本文在不减少其最小平方欧氏距离的前提下，提出了多进制CPFSK的减少状态格状图，从而减少了维特比的译码复杂度。
In this paper, a reduced-state trellis for M-ary CPFSK is presented under the condition that the MSED is not reduced therefore the complexity of Viterbi decoding is reduced.
浮点矢量图像特征维数较高，且通常以欧氏距离作为矢量之间的相似度定义。
Float vector based image feature has high dimension and usually makes use of Euclidean distance as its similarity definition.
基于主成分分析在欧氏距离的水平上进行系统聚类，以3．5的距离将63个材料划分成7大类群，其中第7类群有48份材料，占76．19％。
On the basis of the 6 principal components, these 63 parents were divided into 7 groups by Euclidean distance (3.5) and 76. 19% of them (48) belonged to the seventh group.
采用相关系数法、欧氏距离法对这两类缺陷信号的的波形进行模式识别，以这两种方法为基础提出一种对此类缺陷信号综合识别方法。
The waveform of flaw signals from the rod is identified by the correlation method and Euclidean distance method. Based on these two methods, a comprehensive identification method is brought up.
欧氏距离法的重建效果比小波变换法要差一些，所用时间比小波变换法要少的多；
The performance of Euclidean Distance is inferior to Wavelet Transform, but using much less time, Maximal Distance gets the worst result , while taking the least time.
当图像数量增长到一定数量后，基于浮点矢量形式表示的图像特征就不适合放置在内存中，欧氏距离的计算也将造成较大的时间开销。
For example, it costs more for storage and the distance computation is quite complex. With the number of images grows, it will be unsuitable for vector based image feature to stay in memory.
文中研究了网络的基本性能并对其参数进行优化，提出了采用欧氏距离判别法作为混合型多特征异常模式的识别方法。
The performance of network is studied, and its parameters are optimized. Euclid distance discriminance is developed to recognize mixed abnormal patterns.
使用GTI模型的结果比欧氏距离的要差。
The result using GTI model is somewhat inferior to Euclidean distance.
应用奇异值欧氏距离作为两幅图像相似程度的度量尺度从而实现轴承的故障诊断。
The Euclidean distance of singular values is used as the measurement of similarity between two gray charts, realizing fault diagnosis.
采用平均最小自由欧氏距离估计误比特率，得到误比特率的封闭式表示，通过计算机模拟，在高信噪比情况下，这种估计方法与实际情况非常接近。
The bit error probability is estimated by the minimum average Euclidean distance. Through simulation, it is shown that the estimation is usually very accurate at high signal-to-noise ratio.
常用的核函数rbf只具有局部性，根据像素间欧氏距离作为两个类别的亮度差异性测量。
Common kernel function RBF only has a local characteristic, with the measurement of the difference in brightness according to the Euclidean distance between pixels of two types.
采用空间点到点欧氏距离公式实现特征点处软组织厚度的快速测量。3颅面复原知识库构建及知识推理策略制定。
Then a fast measurement was achieved by calculating the Euclidean distance between points. 3 Constructing the knowledge base and inference strategy.
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