基于正态分布和向量范数理论的方法，提出用于判断货币识别传感器的有效性和精确性分析方法，并建立了货币识别的性质模型。
Based on the theories of normal distribution and vector norm, a novel method for evaluating the effectiveness and precision of the sensor used in currency recognition is proposed.
该文只考虑了接收天线选择，天线选择的准则是基于每个天线接收到的信号向量F-2范数。
Selection criterion is based on the Frobenius-2 norm of received signal vector at each receiving antenna.
本文分析了常用预处理算法的基础上，提出了差分向量无穷范数预处理算法。
After the analyzing the usual preprocessing algorithm, the preprocessing algorithm named the Infinite Norm of the Difference Vector is proposed in this paper.
在模糊满意度的意义下，将软约束和有关向量无穷范数的取值转换为满意度。
Under the sense of fuzzy satisfactory degree, the values of soft constraints and infinite norms of related vectors are transformed into satisfactory degree.
在模糊满意度的意义下，将软约束和有关向量无穷范数的取值转换为满意度。
According to the sense of fuzzy satisfactory degree, the values of soft constraint and infinite norms of related vectors are transformed into satisfactory degree.
在具有向量值范数的实向量空间上，通过引入一个定义在向量格上的特殊映射来讨论压缩映射，并证明相应的不动点定理。
The contractive mappings in the vector space, which is with vector norm are defined by a map on the vector lattice.
构造骨架树邻接矩阵并给出拓扑标记向量的定义，用拓扑标记向量之差的二范数作为两个骨架树匹配节点对的距离；
Construct the skeleton tree′s adjacency matrix, then define a Topology Signature Vector and compute the distance of matching node pair by the difference of the TSV.
在传统的空间域正则化图像复原或超分辨率图像复原方法中，是用向量2-范数度量数据逼近项和正则项。
In traditional approach, people use l_2 -norm to measure data approximation item and regularization item in regularized image restoration and super-restoration in spatial domain.
支持向量机中的L2范数软边缘算法可以将线性不可分问题转化为线性可分问题。
The L2 norm soft margin algorithms in SVMs can change each linearly inseparable problem into a separable one.
本文构造加权向量1 -范数型李雅普·诺夫函数。
Lyapunov's function with weighted vector 1-norm form is constructed.
提出了一种新的目标轮廓特征级融合方法，求解两类模式图像的收敛动态轮廓线控制点向量差的范数平方极小化。
A new feature level fusion method of target's contour was proposed, which minimizes norm's square of the difference of control point vectors of convergent dynamic contours in two modal images.
最后采用基于矩阵的F -范数代替传统的基于向量的2一范数进行分类度量。
Last but more importantly, we used the F-norm classification measure based on the matrix instead of the traditional 2-norm measure based on the vector.
最后采用基于矩阵的F -范数代替传统的基于向量的2一范数进行分类度量。
Last but more importantly, we used the F-norm classification measure based on the matrix instead of the traditional 2-norm measure based on the vector.
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