Adobe的SVG标准是一种基于XML的表示向量图形的格式。
The SVG standard is an XML-based format for presenting vector graphics.
我们采用了基于词熵的特征项提取方法，并且使用特征项单词出现频率来表示向量，推导出相应的贝叶斯计算公式。
We adopt a way of attribute selection based on word entropy, use vectors which are represented by word frequency, and deduce its corresponding Bayesian formula.
它们可以表示为有序的向量、无序的组、链表、树、图或编程语言支持的其他形式。
They can be expressed as ordered vectors, unordered groups, linked lists, trees, graphs or other forms that the programming language supports.
我们用向量场表示物质的扩散，而其扩散就是我们要研究的内容。
And we used a vector field that represents the flow of whatever the substance is whose diffusion we are studying.
根据它的原理，我们通常用v表示,这里的V更代表速率而不是矢量，你能通过,对一个关于时间的位置向量求导得到它。
And, the way we can get it, so, it's called usually V, so, V here stands for velocity more than for vector. And, you just get it by taking the derivative of a position vector with respect to time.
和其他任何向量图像格式一样，SVG也采用各种形状的列表来描述图像内容，而不是生成像素表示。
With SVG, as with any vector graphics format, the description of the image content is based on listing the different shapes, rather than producing a pixel-by-pixel representation.
然后，可以用微分关系,或受约束的偏微分来表示,曲线的切向量，就是这样了。
Then actually there are ways you can use basically differentials and constrained partials to figure out what the tangent vector to the curve is and so on.
这面积，约等于平行四边形的一半，我能用向量表示它。
So, the area is approximately equal to one half of the area of a parallelogram that I could form from these vectors.
or gWriter是能够互操作的应用程序包的一部分，其中包括电子表格、向量绘图程序、表示应用程序以及其他组件。
OpenOffice.org Writer is just part of a suite of inter-operable applications including a spreadsheet, vector drawing program, presentation application, and some other components.
标记正是物理学家们表示“名叫X 的向量（或状态）”的方式。
notation is just the way physicists denote "a vector (or state) called X".
少数文件使用更专门化的扩展名，如. svg表示可缩放向量图形。
A few of the files use more specialized extensions such as.svg for SVG files.
当然也有另一种方法，就是用参数方程表示这两条直线，用两条直线的方向向量作外积，从而得到切平面的法向量。
Another way to do it, of course, would provide actually parametric equations of these lines, get vectors along them and then take the cross-product to get the normal vector to the plane.
然后是未知数向量，未知数向量我们经常用X表示，大写的X。
Then there is the vector of unknowns. Here we’ve got 2 unknowns.
其实私下里我想了很久，才找到R的这些元素来表示，怎样使其它向量逆时针旋转90度。
Secretly, I worked pretty hard to find what are the entries that would tell me how to rotate something by 90 degrees counterclockwise.
物体质量为，因此有重力，我可以用向量符号，表示这个力。
M the object has a mass m, mg and so there is a force mg, and I can write down the force in vector notation.
既然一个特征描述是一个通过向量来对对象的约简，不同的对象可能会具有相同的表示，所以会导致种类交迭在一起。
Since a description by features is a reduction of objects to vectors, different objects may have identical representations, which may lead to class overlap.
用这些特征构成句子向量表示，并用机器学习的方法对其进行训练得到器，从而把自动文摘转换为分类问题。
There are eight features used to form the feature vector for each sentence, and the summarizer is gained by machine learning algorithms, so automatic summarization is changed into classification task.
这是一个潜在的可能引起混淆的表示，因为上面以向量表示的函数更加通用，除非显式地定义了其领域。
This is a potentially confusing representation, because the function as expressed over vectors is more general, unless its domain is explicitly restricted.
曲线字型是继点阵字型、向量字型之后的又一种新的字符表示方式。
Curvilinear font style is a new method of character expression after lattice font style and vector font style.
用骨架语片做特征项，用空间向量模型表示文本语义，用语片的出现频度做语片权重，用余弦法计算文本间语义相似度。
Computing the semantic similarity of sentences by the method of cosine, eigenvalue come from the skeleton semantic clip, and the semantics of sentence expressed the vector space model.
本文介绍了文本自动分类的研究方法，文本的向量空间模型表示。并给出了文档的训练算法和分类算法。
It introduces the method of the text auto-categorization, briefly describes the vector space model expression, and finally gives training arithmetic and categorization arithmetic of the text.
不能优化具有绘图类型格式矢量图形向量图形：使用几何公式的图形对象的表示形式，如线条、弧形和正方形。
You cannot optimize pictures that have a drawing type of format vector graphics vector graphics: The representation of graphic objects such as lines, arcs, and squares by using geometrical formulas.
使用向量空间模型来表示事件描述片段的特征，并分类计算特征词的重要度，最后对文本中的事件片段进行定位和分类。
This paper uses the Vector Space Model to express the features of event description segment and calculate the importance of feature words in different classes.
利用潜在语义分析进行特征抽取，消除多义词和同义词在文本表示时造成的偏差，并实现文本向量的降维。
Using latent semantic analysis to extract feature, the affect of synonymy and polysemy in text representation process is eliminated and the dimension of text vector is reduced.
同时也还给出了由可合元素的坐标表示其生碱向量的方法。
At the same time, the author gives the method of expressing the spanning vectors by the coordinates of decomposable elements.
表示后的草图缩放具有向量图缩放的优点，设计人员可以在缩放后的草图上进行形状调配。
The sketch scale is of the same advantage as vector map, and designers can (perform) shape control on the scaled sketch.
对文档与主题层的向量表示进行简化，设计与实现了一个主题搜索机器人原型。
Simplifying the vector representation of documents and topic levels, a prototype of the focused crawler is designed and implemented.
该算法首先将包含互耦系数信息的信号子空间向量表示为互耦系数矩阵和理想阵列导引向量的乘积。
Firstly, the signal subspace vector including information of mutual coupling coefficients is expressed as product of mutual coupling coefficient matrix and perfect array steering vector.
该算法首先将包含互耦系数信息的信号子空间向量表示为互耦系数矩阵和理想阵列导引向量的乘积。
Firstly, the signal subspace vector including information of mutual coupling coefficients is expressed as product of mutual coupling coefficient matrix and perfect array steering vector.
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