A research into the semi-norms on a finite-dimensional vector space;
利用代数的方法获得了共点有限向量集的一类几何不等式 。
Kernel Methods are concerned with mapping input data into a higher dimensional vector space where some classification or regression problems are easier to model.
核函数方法关心的是怎样把输入数据映射到一个高维度的矢量空间，在这个空间中，某些分类或者回归问题可以较容易地解决。
Kernel Methods are concerned with mapping input data into a higher dimensional vector space where some classification or regression problems are easier to model.
核函数方法关心的是如何把输入数据映射到一个高维度的矢量空间，在这个空间中，某些分类或者回归问题可以较容易地解决。
This paper with elementary transformation of matrix discusses some properties of a set of vectors in finite dimensional vector space and the theory basis of this method is given.
该文利用矩阵的初等变换解决有限维向量空间中向量组的线性性质的有关问题，并给出了这种方法的理论依据。
According to this point of view the transmission and scattering in multilayer dielectric waveguides can be regarded as coordinate transformation of a vector in ann-dimensional vector space.
根据这种观点，多层介质波导中波的传播和散射可以归结为多维空间向量的坐标变换，并可用传输线和网络表示。
In an infinite dimensional space there always exist two subspaces whose vector sum is different from their span.
在一无限空间中恒存在两个子空间，其矢量和与其张成空间不同。
By using backward difference of space-time intensity correlation function with respect to time delay, the two-dimensional velocity vector of a moving diffuser can be measured.
利用远场时变散斑空-时强度相关函致的有限差商可以测量散射体运动的二维速度矢量。
The concept of dimension is connected with vector space, a linear algebraic method for dimensional analysis is proposed, some examples are given.
把量纲概念与矢量空间联系起来，提出用线性代数进行量纲分析的方法，并举例说明。
Instead of the conventional analog hysteresis comparator, the compensatory current is produced by 3-dimensional space vector modulation (3d SVPWM) technique.
不同于传统的模拟滞环比较器，采用基于三维空间矢量脉宽调制(3d SVPWM)法控制补偿电流的产生。
Based on tuple space search, a packet classification algorithm called bitmap vector of tuple space for multi dimensional conflict free filters is presented in this paper.
本文对无过滤规则无冲突的数据库进行了研究，提出了基于元组空间多维分组分类算法：元组空间矢量位映射算法。
The relevance vector machine (RVM) is used to process the hyperspectral image in this paper to estimate the classifiers precisely in the high dimensional space with limited training samples.
将关联向量机应用于高光谱影像分类，实现高维空间中训练样本不足时分类器的精确建模。
The vectors obtained from different common-offset trace gathers form a vector set in N-dimensional space.
这些由不同偏移求得的向量就构成了N维空间上的向量集。
The SVM (Support vector Machine) classifies the data by mapping the vector from low-dimensional space to high-dimensional space using kernel function.
而SVM(支持向量机)引进核函数隐含的映射把低维特征空间中的样本数据映射到高维特征空间来实现分类。
In this paper, three-phase voltage will be corresponded to the three-dimensional space vector in the three-dimensional space coordinate.
本文采用基于三维空间坐标的功率理论，即三相电压对应到三维空间坐标中的三维空间矢量。
It is hard to draw in two dimensions a picture of a vector function in three-dimensional space.
在两维图上画三维空间的矢函数图形是件难事。
The received mixing signals are first mapped to high-dimensional kernel feature space, and a feature vector basis given by the fitness function of the kernel feature space is constructed.
所接收的混合信号首先被映射到高维的内核特征空间，和由内核特征空间上的适应度函数给出的特征矢量的基础构造。
The Support Vector Machine (SVM) can flexible to decide boundary in a high-dimensional feature space, because of its strong global convergence.
而支持向量机(SVM)能够在一个高维特征空间中灵活的判别边界，具有很强全局收敛性。
The Support Vector Machine (SVM) can flexible to decide boundary in a high-dimensional feature space, because of its strong global convergence.
而支持向量机(SVM)能够在一个高维特征空间中灵活的判别边界，具有很强全局收敛性。
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