特征集合

词组短语

characteristic set · feature concentration

与特征集合相关的网络例句 [注：此内容来源于网络，仅供参考]

At last,we use these feature regions to construct affine invariant s,based on affine geometry invariant property.

利用仿射区域划分获取一组扩展质心集合作为图像特征点集；求解特征点集的凸包，根据扩展质心的性质将凸包顶点均匀组合成若干特征区域；利用仿射几何性质构造了有效的仿射不变量。

The proposed method has the merit that the numerical characteristics of stochastic temperature field response can be obtained by analyzing the random temperature field just in one time.3. Perturbed numerical algorithm of nonprobabilistic convex set theoretical models on the temperature fieldThe uncertain parameters of physical parameters and initial boundary conditions of heat conduction are described by the convex model. The perturbation formulas of the upper and lower bounds of temperature field response with unknown-but-bounded parameters are given via the combination of matrix perturbation theory and the convex set theory model.4. Numerical analysis for transient temperature field with interval parametersConsidering the uncertainties of the transient heat transfer, the physical parameters and initial boundary conditions are regarded as interval variables.

该方法具有只进行一次随机温度场分析便可以获得其响应的数字特征的优点。3、温度场的非概率凸集合理论模型的摄动数值解法将结构导热的物理参数、温度场的初始和边界条件等不确定性参数以凸模型加以描述，基于矩阵摄动理论和处理不确定问题的凸集合理论模型的结合，导出有界不确定参数瞬态温度场响应所在集合的上、下界摄动计算公式。4、具有区间参数的瞬态温度场数值分析考虑结构瞬态热传导问题的不确定性，将结构各物理参数和温度的初、边值条件均视为区间变量。

For any particular tasks, there should be a compact and sufficient feature set that is effective to characterise the attributes of the task.

对任何特定任务，一定存在一个既精简又能充分描述任务属性的有效特征集合。

Firstly a formal syntactic of UML statechart diagrams was given and a series of auxiliary functions to describe the structure features of UML statechart diagrams were presented in which target determinator and source restriction were used to describe the inter-level transitions and open events and close events were used to describe the communication among UML statechart diagrams.

首先给出了UML状态图的形式化语法定义，其中用状态集合、转移集合、事件集合、条件集合、活动集合、对象集合和变量集合，定义了一系列辅助函数描述UML状态图特征，用确定目标状态和受限源状态表示层次关系，用开放事件和封闭事件表示对象之间的消息。

Quantifying similarity/difference between two objects plays an important role in many contexts The quality of the similarity/difference scores can be improved by considering the semantic information related to the features of objects A flexible semantic distance function called X Dist is proposed, which can utilize the semantic information to measure the difference between two objects based on a solution to the transportation problem from linear optimization With a ground distance function for single features being a metric, X Dist is also a metric This property is very useful for making searching efficient, but is not investigated in the previous research Moreover, the experimental results show X Dist can be as good as the previously studied similarity measures in nearest neighbor searching, discriminative power and computing speed

量化对象间相似性/差别的方法具有广泛的用途，利用相关的语义信息能够得到更好的量化结果提出了一个量化对象间语义差别的距离函数XDist，它基于线性优化中的运输问题模型和相关的语义信息量化两个对象之间的差别在量化特征的差别函数是度量的情况下，XDist是一个度量，在提高搜索的效率方面具有优势，弥补了以往研究的不足，而且实验初步表明，此函数在最近邻查询效果、差别分辨力和计算速度方面能与已有函数相媲美1 引言量化对象间相似性/差别的方法具有广泛的用途，例如数据挖掘中的聚类；信息检索中的相似文档查询；协同过滤中的相似用户查询；CBR中的相似案例查询集合是对象特征表示的常用结构，集合的元素是与对象特征相关的项，它们可以

We obtain a sufficient condition to ensure that the supremum of real parts of all characteristic roots is less than zero.

本章的第二部分讨论了非奇异中立型退化时滞方程特征根实部集合的上确界问题，得到了判断特征根实部集合上确界小于零的充分条件。

In the lexicon, each item is listed with features, which include categorial feature, thematic feature and eventive feature.

词库里每个词项都是一个特征集合，其中包括范畴特征，论旨特征和事体特征。

We also know that network traffic acts as self-similarly characteristics since the distribution of the traffic is a heavy-tailed distribution.

对ClarkNet-HTTP网络流量集合和Calgary-HTTP网络流量集合的分析结果表明：无论是在工作日期间还是在休息日期间，无论是在上班时间期间还是在下班时间期间，网络流量行为都很好地表现出具有突发性特征的自相似性特征。

In this algorithm, Harris corner detector is used to extract feature points, which gains sub pixel precision for features extraction. Then, a pseudo matching set is obtained by comparing local neighborhoods of features through intensity cross correlation method and these pseudo matches are divided into inliers and outliers using robust RANSAC algorithm.

此算法采用 Harris角检测算子进行特征点提取，使提取的精度达到了亚像素级，然后以特征点邻域灰度互相关法进行特征点匹配得到了初步的伪匹配集合，并运用稳健的RANSAC算法将伪匹配点集合划分为内点和外点，在内点域上运用 L M优化算法精确地估计出了图像间的点变换关系，最后采用颜色插值对交接处进行颜色过渡。

Under the circumstances of being training sets, we use the rough reseau to extract features of characters.

在有训练样本集合的情况下，采用粗网格方法提取字符的特征，利用粗糙集在属性特征约简方面的优势，对冗余特征进行有效删减，压缩了字符的特征数目，提高了识别效率。

与特征集合相关的网络解释 [注：此内容来源于网络，仅供参考]

characteristic conoid：特征角面

特征集合|characteristic set | 特征角面|characteristic conoid | 特征矩阵|characteristic matrix

characteristic function：特征函数

古典集合(classical set)将元素和集合的关系,以二元逻辑(binary logic)的特徵函数(characteristic function)定义如下:在离散(discrete)的情形下,模糊集合可表示成:而在连续(continuous)的情形下,模糊集合可表示成:陈昭宏(民87)以模糊转换法分析评量用词对问卷调查之研究中,

characteristic index：特征指针;示性指标

集合的指示函数 characteristic function of a set | 特征指针;示性指标 characteristic index | 特征线元素 characteristic line element

characteristic set：特征集合

特征方向|characteristic direction | 特征集合|characteristic set | 特征角面|characteristic conoid

characteristic function of a set：集合的指示函数

特征函数;指示函数;固有函数 characteristic function | 集合的指示函数 characteristic function of a set | 特征指针;示性指标 characteristic index

characteristic function of a set：集的特征函数,集合的特征函数

characteristic function 特性函数 | characteristic function of a set 集的特征函数,集合的特征函数 | characteristic function of the binomial law 二项分布律的特征函数

Clusters：集群

被我称之为"集群"(clusters)的因素支配着当今世界的经济地图. 集群是位于某个地方、在特定领域内获得不同寻常的竞争胜利的重要集合. 集群几乎是每个国家国民经济、区域经济,甚至都市经济的一个显著特征,在经济发达的国家尤其如此.

inclusion relation：包含关系

当人们去寻找不同的特征集合(list of feature)之间存在包含关系(inclusion relation)的经验证据时,上述问题就出现了. * 由此,名物概念的层级组织方式似乎是大脑中的心智词典的一个必然特征. 尽管它遭到认知理论的强烈攻击,

Rel：关系

简化主义模式是生成语法和真值条件语义学(truth-conditional semantics)所使用的,但是Fillmore又承认每一个特定构式在句法关系上,析出三种特征集合:角色(role)、配价(val)和关系(rel);在构式之间的关系和信息储存方式上,

class word：類詞

Version 1.6主要3.2.1:特征提取 我们利用WordNet提供的接口函数,从WordNet的同义词词集(Synset)、属类词(Class word)和意义解释(Sense explanation)这三个集合中抽取出候选同义词,然后进行特征提取,计算出: )(SWfeature}}{},{},