此函数将以输入点为基础，按照用户指定的距离创建一个新缓冲区轮廓数据层。
This function will create a new buffer feature data layer around the input point features at user specified distance.
我是这样进行定义的：将城市之间的欧式距离和城市之间的好友数量都作为一个函数进行权重分析，然后根据权重值在两市之间绘制标线。
I defined weights for each pair of cities as a function of the Euclidean distance between them and the number of friends between them.
dist：需要使用的距离函数。
一个例外是ST_Distance函数，它必须出现在针对一个任意距离的小于比较式中。
An exception is the function ST_Distance, which must be used in a less-than comparison with an arbitrary distance.
该函数做很多位置整理(position -munging)工作，但都可归结为一个简单的思想：不断保存鼠标光标与目标对象之间的精确的距离。
This function does a good bit of position-munging, but it all boils down to a simple idea: Keep constant the precise distance between the mouse cursor and the target object.
我们用库伦定律解释它，力作为距离r的函数，让我们考虑一下。
We can use the Coulomb force law to explain this where we can describe the force as a function of r.
该功能在后文我演示使用Solr的一些基于距离的函数时用到。
This will also come into play later in the article, when I demonstrate using some of Solr's distance-based functions.
然后我会调用perform,trial函数，通过这个field中的time来获取此时的距离。
And then I'm going to call perform trial with the time in that field to get the distances.
卡西尼号远离土星环而观察到的每个信号的变化提供了一份环材料分布的侧写。这是一个距土星距离的函数，或是一个光学深度剖面。
The observed changeof each signal as Cassini moved behind the rings provided a profile ofthe distribution of ring material as a function of distance fromSaturn, or an optical depth profile.
当它被设置为对数或线性类型时，如果你修改音量距离函数，类型将自动更改为自定义衰减。
If you try to modify the volume distance function when it is set to Logarithmic or Linear, the type will automatically change to Custom Rolloff.
度量的距离函数是基于概率事件结构达到一致的最长因果集束链的长度。
The distance function of the metric is based on the length of the longest bundle chain in probabilistic event structures.
使用Solr的距离函数根据距离增强数据是非常容易的。
Boosting by distance is quite easy using Solr's distance functions.
有音频的几个的属性，作为音频源和音频侦听器之间的距离的函数，可以被修改。
There are several properties of the audio that can be modified as a function of the distance between the audio source and the audio listener.
这里三次样条函数中参数几何意义是沿曲线路径单调增长的距离。
The geometric meaning of the parameter is the mono increasing distance along the curve path.
这里提出的方法是仅根据模糊图像本身，求出确定系统点扩散函数（PSF）的重要参数-模糊距离。
The solution proposed here identifies important parameters with which to characterize the point spread function (PSF) of the blur, given only the blurred image itself.
音量，平衡调整，扩散和低通音频滤波器的距离函数。当前到音频监侦听器的距离在图中标记。
Distance functions for Volume, Pan, Spread and Low-Pass audio filter. The current distance to the Audio Listener is marked in the graph.
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.
传统的技术效率测算方法主要包括参数方法和基于径向技术距离函数的非参数DEA方法。
Traditional methods of technical efficiency measurement include parametric method and the non-parametric DEA based on radial technology distance function mainly.
规则距离函数是规则聚类中的重要一环。
The rule distance function is the key feature of rule clustering.
在文献中和互联网上有各种形式的称为谷本相似度和谷本距离的函数。
Various forms of functions described as Tanimoto similarity and Tanimoto distance occur in the literature and on the Internet.
所提出的方法是对基于测地距离函数和形态中值方法的扩展，以提高插值方法的有效性为目的。
The proposed method is an improvement of the geodesic distance function approach and morphological median approach, which increases the method's effectiveness.
论文重点研究了决策树内部结点的特征选择方法，设计了一个新的距离差函数。
The research emphasizes on the feature selection in internal-nodes, and designs a new Distance Difference Function.
符号距离函数重构是水平集方法中必不可少、且相当费时的步骤。
The reconstruction of signed distance function (SDF) is an imperative and time-consuming step in level set method.
根据距离函数可以方便地求得较为合理的分配。
Depending on the distance function, we can easily get the effective assignment.
文中的曲面或用参数方程表达或用符号距离函数表达。
In this paper, the surface is presented with a parameterized equation or a signed distance function.
讨论了基于代数距离的目标函数的几何意义。
The geometric meaning of the objective function based on algebraic distance is included.
在度量空间中有一个定义好了的距离函数。
There is an interval function that has been defined in Metric Space.
在本文中，我们提出了一种新的无需距离函数的聚类方法。
In this paper, we propose a new method for clustering without distance functions.
用距离函数对图像的特征向量进行相似性度量，从而实现SIFT特征向量的匹配。
The distance function is used for similarity measure of image feature vector and realizes the matching of feature vector.
用距离函数对图像的特征向量进行相似性度量，从而实现SIFT特征向量的匹配。
The distance function is used for similarity measure of image feature vector and realizes the matching of feature vector.
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