• 欧氏距离可以使用任何

    I have used Euclidean Distance but you could use any.

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  • 最后利用加权欧氏距离分类器进行识别

    Finally, weighted Euclidean distance classifier was utilized in recognition.

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  • 最后利用加权欧氏距离分类进行识别

    Finally, weighted Euclidean distance classifier is utilized in recognition.

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  • 采用欧氏距离未知样品进行判别分析

    Euclidean distance was used to recognize and analyze unknown samples.

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  • 使用GTI模型结果距离

    The result using GTI model is somewhat inferior to Euclidean distance.

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  • 最后根据不变矩特征欧氏距离识别出目标

    At last, the target was recognized according to Euclid distance of moment invariants.

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  • 用加权距离进行相似性度量提高检索性能

    Weighted Euclidean distance was used to improve retrieval efficiency.

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  • 实验证明这种距离测量方式要比氏距离测量方式有效

    It has been proved that this distance measure is more efficient than the Euclidean distance.

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  • 连续相位调制最佳相于解调误码性能取决于最小平方欧氏距离

    The error performance of continuous phase modulation (CPM)with optimal coherent detection depends on its minimum squared Euclidean distance(MSED).

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  • 浮点矢量图像特征维数较高通常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.

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  • 连续相位调制(CPM)最佳相干解调译码性能取决于最小平方欧氏距离

    The error performance of continuous phase modulation (CPM) with optimal coherent detection depends on the minimum squared Euclidean distance (MSED).

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  • 应用奇异欧氏距离作为幅图像相似程度度量尺度从而实现轴承故障诊断

    The Euclidean distance of singular values is used as the measurement of similarity between two gray charts, realizing fault diagnosis.

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  • 距离重建效果变换法一些,所用时间比小波变换法要多;

    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.

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  • 未知目标其子对库矢量欧氏距离最小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.

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  • 传统TOPS IS方法采用固定距离作为距离度量属性补偿关系固定。

    Euclid distance metric was adopted in the Traditional TOPSIS, it leads to the problem that the compensatory relationships between each properties are fixed.

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  • 同时将样本之间模糊相似性映射样本之间的距离,即将高维样本映射到平面

    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.

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  • 常用函数rbf具有局部性根据像素欧氏距离作为两个类别亮度差异性测量

    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.

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  • 方法距离灰色关联度有机结合,构造了一种新的相对贴近度以实现方案的评价。

    This method established a new kind of relative similarity degree by combining the Euclidean distance with grey correlation degree.

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  • 基本解方属于径向函数方法它使用微分算子基本解作为基于距离径向基函数。

    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.

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  • 同时提出采用贡献分析法确定情感特征参数值,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.

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  • 最后矩阵试验样本分别进行投影,根据欧氏距离的大小得出试验人脸最终类别

    Finally, class matrix and tested samples were projected respectively through the proposed rules. Then, the final class that tested faces belonged to was declared according to the Euclidean distance.

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  • 结果表明SVM分类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.

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  • 将待检索图像所有值域距离平均,此平均欧氏距离较小的几幅图像检索出的图像。

    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.

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  • 通过矢量,开发人员可以使用各种指标(比如说曼哈顿距离氏距离余弦相似性)来计算两个项目之间距离

    Given the vectors, one can calculate the distance between two items using measures such as the Manhattan distance, Euclidean distance, or cosine similarity.

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  • 首先利用线性欧氏距离变性两个特性可以求得图像中的相机坐标系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.

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  • 平均欧氏距离系数基础运用UPGMA法,对甘草12个类群核型资料进行Q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.

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  • 根据气候相似性理论运用欧氏距离模糊相似优先比法划定适宜上海进行园林植物引种澳大利亚区域

    According to the climate similarity theory, Australia was zoned for Shanghai landscape plant introduction by means of Euclidean distance and fuzzy analogy preferred ratio.

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  • 针对转子振动时间序列异常数据检测问题,采用距离进行匹配计算,实数域实现了选择算法

    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.

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  • 品种欧氏距离值分布于7.000~10.000之间,表明中国供试抗病品种群体遗传基础较为狭窄。

    The genetic distances of 85.55% of the varieties ranged from 7.000 to 10.000. All of above results showed a narrow genetic base in the tested cotton population.

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  • 品种欧氏距离值分布于7.000~10.000之间,表明中国供试抗病品种群体遗传基础较为狭窄。

    The genetic distances of 85.55% of the varieties ranged from 7.000 to 10.000. All of above results showed a narrow genetic base in the tested cotton population.

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