The outer vector holds all the inner vector objects.
外部vector包含所有内部vector对象。
In the mark phase, all the "live" objects are added to mark vector.
在标记阶段，将所有“活的”对象添加到标记向量。
While parsing a series of log files, the code creates a Vector of Log objects, with one Log object per log file.
在解析一系列的日志文件时，代码创建Log对象的Vector，每个日志文件都有一个 Log对象。
So, now you have a Vector of log objects, with each log representing one log file.
这样，现在有了Log对象的Vector，每个Log表示一个日志文件。
In Listing 7, logs is the Vector that contains log objects.
在清单7中，logs是包含Log对象的Vector。
The tag handler class iterates on the vector of value objects.
taghandler类遍历这个值对象vector。
(the table data comes from the session; it is stored in the session with the vector of value objects).
(表格数据来自会话，它以值对象的vector的形式存储在会话中)。
Next, you get the session reference, and then retrieve the table data (vector of value objects) and combo box data (vector of strings) from the session.
下一步，得到会话引用，然后从会话中获取表格数据(值对象的vector)和组合框数据(字符串的vector)。
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.
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。
It provides three types of graphic objects: vector graphic shapes, images and text.
它提供了三种类型的图形对象：矢量图形、图像和文本。
This kind of method describes the position and attitude of objects by utilizing Cartesian coordinates of reference base points and Cartesian components of reference base vector.
这种方法是利用参考基点的笛卡尔坐标和参考基矢量的笛卡尔分量描述物体的位置与姿态。
There are two ways to access objects stored in a vector.
有两种方法来访问对象存储在一个载体。
You can search for a particular vector image in categories like templates, logo objects, sport logos, flags, maps, coat of arms, symbols, signs or clip art.
您可以搜索某一特定的矢量图像像类模板，标识物体，体育标志，国旗，地图，国徽，符号，标志或剪贴画。
Both geographical objects topology construction and mutual operation between GIS vector map and remote sensing images are mainly discussed.
重点就地物目标拓扑构造和GIS矢量地图与遥感图像互操作问题进行了讨论。
To detect objects quickly, a new method is presented to construct a cascade of linear classifiers with L-SVM (Lagrangian Support Vector Machine, L-SVM).
为了实现目标的快速检测，提出了一种新的基于拉格朗日支持向量机(L -SVM)的线性级联式分类器的构造方法。
A human body recognition method based Support Vector Machine is proposed to distinguish the different possible objects.
针对场景中存在多种可能的目标，提出基于支持向量机的人体目标识别方法。
Traditionally, objects are represented by vectors in a feature vector space.
运用向量空间：传统地，对象被用特征向量空间中的向量来表示。
As a type of one-class classification algorithm, Support Vector Data Description (SVDD) was used to distinguish target objects from outlier objects.
支持向量域数据描述(SVDD)是一种单值分类算法，用于将目标样本与其他非目标样本区分开来。
The rotation matrix can be linearly acquired by using only 4 vanishing points and the translation vector can be linearly solved by using only 2 spatial point objects.
该方法仅需4对消隐点象面坐标便可线性求解出旋转矩阵，再用2个空间点坐标便可线性求解出平移矢量。
When performing a sweep the user specifies a motion vector, this specifies the direction and magnitude of the path the objects is swept over.
为了执行一次扫掠，用户需要指定一个运动矢量，它指出了方向和将要用于扫掠的路径长度。
Perhaps objects might be better represented by convex bodies, curves or by other structures in a metric vector space.
或许对象通过凸集、凸曲线或其它可度量向量空间中的结构来表示会更好。
The Vector class implements a growable array of objects.
Vector类实现了一个可增长对象数组。
Ground objects can be effectively recognized by gray co-occurrence vector and gray co - dimension feature vector with BP neural network and Bayesian network, recognition rate of 70%.
利用灰度共生纹理特征向量和灰度共生-差分维数联合特征向量结合BP神经网络和朴素贝叶斯网络都能对地物进行有效识别，识别率在70%以上。
This paper proposes a new automatic classification method based on support vector machines to separate non-active objects from active objects via their spectra.
文章提出一种新的基于支撑矢量机的非活动天体与活动天体的自动分类方法。
An analysis of solving the electromagnetic scattering by buried objects using the vector vvave function expansion is presented.
本文利用矢量波函数展开法求解了任意激励原埋入体的电磁散射问题。
Then, the processes of computing the vector values of POI objects are discussed by the methods of questionnaire survey, multi-density spatial clustering and data normalization respectively.
然后，分别讨论了利用问卷调查、多密度空间聚类和数据规格化的方法计算POI对象的各项显著性指标值的过程；
Logo for all built-in objects are vector-based and can be easily scaled and rotated.
所有内置Logo对象都是基于矢量的，可以轻易的缩放和旋转。
A negatively charged exciton is a system of three charged objects, making the numerical computations difficult due to the large size of the basic vector set and the Hamiltonian matrix.
负电荷激子是三个带电粒子的体系，构成本征函数的基矢数以及哈密顿矩阵元都极大，数值计算艰浩。
A negatively charged exciton is a system of three charged objects, making the numerical computations difficult due to the large size of the basic vector set and the Hamiltonian matrix.
负电荷激子是三个带电粒子的体系，构成本征函数的基矢数以及哈密顿矩阵元都极大，数值计算艰浩。
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