准则函数的英文

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英文翻译
造句

criterion function

准则 norm; standard; criterion; r ...
函数 function
不规则函数 erratic function
双正则函数 biholomorphic function
伪正则函数 pseudo-regular function
正则函数 canonical function; holomorphic function; regular function
正则函数芽 germ of regular function
准正则函数 quasi-regular function
分段正则函数 piecewise regular function; piecewise regulated function
正则函数代数 regular function algebra
正则函数的预层 presheaf of regular functions; presheafofregularfunctions
判别函数准则 discriminant function criteria
仿函数可当做排序准则 sort criteria
最小最小风险函数值准则 minimin risk function value criterion
函数 [数学] function◇函数计算机 function computer; 函数计算器 function calculator; 函数运算 functional operation
cod准则 cod criterion
townsend准则 townsend criterion
标准，准则 standard
单准则 single criterion
多准则 multiple criteria
法典；准则 code
量准则 quantity maxim
新准则 new criterion
准则,法规 code

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例句与用法

This paper takes the following rule function into account : which includes the classical wgss
本文考虑如下聚类准则函数：武汉科技大学硕士论文。
Based on these functions , designed three optimized filters and also showed the experiment results . 3
设计了三种准则函数,并在此基础上构造了三种优化滤波器。
But this result is not the best result relative to bayes error or risk . this paper introduces a face recognition method based on pairwise weighted fisher criteria
但是这个“尽可能好的’ ’分类结果对于它所对应的准则函数来说是最优的，但是相对于错误率或风险而言，它只是次优的。
But , in this aspect , many content work has been done , so the paper will choose a right clustering rule based on the work of them , in order to confirm cluster number directly under no assumptions
但是，在此方面，人们已经做了很多有意义的工作，所以本文将在前人的基础上选择一个恰当的聚类准则函数，以便在无任何假设条件的前提下比较简单地直接确定聚类数。
This algorithm is better than pca - based face recognition algorithm . ( 3 ) improved lda algorithm based on pairwise weighted fisher criteria the application of fisher function can have the best performance in classification relative to fisher criterion
( 3 ) 、基于逐对加权fisher准则的改进lda算法应用fisher准则可以得到“尽可能好的”分类结果，对应于准则函数取最优值。
A probability model of distribution for perspective image ' s background and objects was put forward , and a formula was deduced to compute the optimized segmentation threshold based on the probability model
并基于此模型推导出根据概率模型计算最佳分割阈值的公式，不同于传统方法反复计算和比较准则函数求取阈值的方式，只需要将图像数据代入文中所建立的模型，求解一元二次方程即可快速求得最佳阈值。
Two objects functions were deduced , which of the maximum likelihood method and the conventional bayes " method , with the application of principle of maximum entropy . under the information theory , more applications are provided to those back analysis methods
论文应用最大熵原理推导了最大似然法和传统贝叶斯法的准则函数，从信息论的角度为这两种反演分析方法的发展开拓了更广阔的应用空间。
Secondly we analyze the process of motion estimation and compensation . we use nearest - neighbors search ( nns ) algorithm , instead of full search algorithm , to reduce search times with little degradation . we use sad as block match function , due to the appropriate computation and easy hardware implementation
其次分析了运动估计与补偿过程，采用最邻搜索作为搜索策略，在搜索质量下降很少的前提下，大大减少了搜索次数；采用适于硬件实现且计算量适中的sad作为块匹配准则函数。
In the coarse step , an improved klt ( kanade - lucas - tomasi ) algorithm is applied in feature extraction , and a new acceleratingalgorithm of template matching is presented to match features , and also a feasible feature validitytesting method is given . in the precise step , the “ regional counting method based onjoint - histogram ” is used for reference to make out its own improved method , which achieves “ sub - pixel ” precision as well as avoids heavy floating - point operation by clever definition ofcriterion function
粗配准过程中,利用klt ( kanade - lucas - tomasi )的改进算法进行特征提取,提出一种新的模板匹配加速算法进行特征匹配,还给出了切实可行的特征有效性检验方法;精配准过程中,借鉴“联合直方图区域计数法”的思想,提出具体的改进方案,通过巧妙定义准则函数使得算法在避开大量浮点运算的同时达到了亚像素级精度。