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graph paper相关的网络例句

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与 graph paper 相关的网络例句 [注:此内容来源于网络,仅供参考]

Further, we can also define if a Coset graph is a graph representation, we note it GR for short, that is, the relevant group is exactly equal to the full automorphism group of the Coset graph.

甚至,我们也可以定义一个陪集图是一个图表示,简称GR,即相应的群是否恰等于它的这个陪集图的全自同构群。

In fact, researching the symmetry of Sabidussi coset graphs has more general significance than doing so for the Cayley graph because every vertex-transitive graph is always some coset graph of its full automorphism group.

关于陪集图对称性的研究其实较Cayley图更具有普遍的意义,因为任何一个点传递图都是其全自同构群的某个陪集图。

For example, when G is a cubic graph, tree, complete graph, or balanced complete bipartite graph, and some values of k.

譬如当图形G是一个立方图、一个树、一个完全图、或者是一个均衡完全二部图,以及某些特定的k值。

According to the some properties of the differentiation ,I found that the symmetry of the graph is closely related to the first-order differentiation and the second-order differentiation .from this ,I search for a way to identify the symmetry of the functional graph for the direct line or the central symmetry of the functional graph for the some dot .

摘 要:利用导数的一些性质,发现了函数图象的对称性与函数的一阶、二阶导数的密切关系。根据这些关系,找到了一种判定函数图象是否关于某一直线对称或关于某点成中心对称的方法。

Graph free counted cross stiutch graph free counted crosse stitch graph fre counted cross stitch ...

图免费计数两岸stiutch图免费计数crosse十字绣图频率计数跨缝。。。

Through study of cyclic active database rule sets and analysis of triggering graph and activation graph, we present the concept of united formula and the algorithm to determine termination of a rule set corresponding to a cyclic triggering graph. We also present the time complexity analysis of the algorithm.

我们针对有环时的规则集的终止性进行了研究,通过对触发图、活化图的分析,提出了联合公式的概念,在此基础上给出了判定有环触发图对应的主动规则集的终止性算法,并给出了时间复杂度分析。

To solve this problem,the prerequisite condition for the similarity of bond graph of system is explored and the dynamic similarity conditions for the elements of bond graph are derived on the basis of bond graph which is ...

基于此,以适用于多能域系统建模的键合图为工具,论述复杂机电系统键合图相似的前提条件,推导出键合图各要素相似所对应的动力学相似条件。

The High-level Petri Net Graph is derived from the Predicate/Transition Net by the way of folding, that is, decreasing the number of the graph elements and increasing the information carried by a graph element.

高级Petri网图形是对库所/变迁网图形的折迭,具体方法是减少图元数量而增加图元信息。

Aiming at the multiple loop structures in quality management process network, an improved graph pattern mining approach based on Apriori algorithm is put forward, where a frequent pattern of size k, denoted as G, is joined with another frequent pattern of size k, denoted as G, to form a candidate frequent pattern of size (k+1), if there exists a source vertex s in G and a sink vertex e in G such that the graph derived from G by subtracting node s equals with the graph derived from G G by subtracting node e.

采用基于APriori方法的频繁活动序列挖掘算法,认为k-频繁图集中,当一个图减去其中的一个源顶点后,如果所得到的图与另一个图减去其中的一个沉顶点后的图相同时,可以连接生成一个(k+1)-候选频繁图,从而减少了传统Apriori算法迭代过程中生成的冗余候选频繁图的数目。

It solves the problem that the unitary contour presentation can not correctly extract face contour in a face image which suffers from scale, rotation etc. The definition of the internal and external energy function is provided. At the same time, the global matching algorithm and local matching algorithm is given. The experiment shows that this presentation and the accompanying matching algorithm can be used to extract the face contour very well. So the image segmentation can be implemented by using it.②By analyzing the recognition principle of PCA method, we can conclude that the face images coming from different surrounding consist of different face image space. This is the essential reason that makes the generality of PCA method worse. Also, we give a measurement means to measure the distance from different face image space, so we can analyze face image space more conveniently.③We also construct various scale models and rotation pose models to detect the scale and rotating angle of face image to be recognized. The experiment results show that the detecting precision is very high. So it is good for face image feature extraction and face image representation.④Similarly, we construct local feature models of face image and utilize them to detect the local feature of face image. At the same time, we put forward a novel face image local feature detection algorithm, locating step by step. The experiment results show that this method can accurately detect the location of local face feature in a image.⑤A novel face image presentation model, dual attribute graph , is put forward. Firstly, it utilizes attribute graph to present the face image, then exact the local principal component coefficient and Gabor transform coefficient of thc pixels which corresponds to the nodes of the graph as the attribute of the nodes. This representation fully makes use of the statistical characteristic of the local face feature and utilizes Gabor transform to present the topographical structure of face image. So DAG has more general property.⑥Based on the DAG presentation, we give a DAG matching function and matching algorithm. During the design of the function and algorithm, the noise factor, e. g., lighting, scale and rotation pose are considered and tried to be eliminated. So the algorithm can give more general property.⑦A general face image recognition system is implemented. The experiment show the system can get better recognition performance under the noise surrounding of lighting, scale and rotation pose.

本文在上述研究的基础上,取得了如下主要研究成果:①构造了一个通用的人脸轮廓模型表示,解决了由于人脸图象尺度、旋转等因素而使得仅用单一轮廓表示无法正确提取人脸轮廓的问题,并给出了模型内、外能函数的定义,同时给出了模型的全局与局部匹配算法,实验表明,使用这种表示形式以及匹配算法,能够较好地提取人脸图象的轮廓,可实际用于人脸图象的分割;②深入分析了PCA方法的识别机制,得出不同成象条件下的人脸图象构成不同的人脸图象空间的结论,同时指出这也是造成PCA方法通用性较差的本质原因,并给出了不同人脸空间距离的一种度量方法,使用该度量方法能够直观地对人脸图象空间进行分析;③构造了各种尺度模板、旋转姿势模板以用于探测待识人脸图象的尺度、旋转角度,实验结果表明,探测精确度很高,从而有利于人脸图象特征提取,以及图象的有效表示;④构造了人脸图象的各局部特征模板,用于人脸图象局部特征的探测;同时提出了一种新的人脸图象局部特征探测法---逐步求精定位法,实验结果表明,使用这种方法能够精确地得到人脸图象各局部特征的位置;⑤提出了一种新的人脸图象表示法---双属性图表示法;利用属性图来表示人脸图象,并提取图节点对应图象位置的局部主成分特征系数以及Gabor变换系数作为图节点的属性,这种表示方法充分利用了人脸图象的局部特征的统计特性,并且使用Gabor变换来反映人脸图象的拓扑结构,从而使得双属性图表示法具有较强的通用性;⑥在双属性图表示的基础上,给出双属性图匹配函数及匹配算法,在函数及算法设计过程中,考虑并解决了光照、尺度、旋转姿势变化等因素对人脸图象识别的影响,使得匹配算法具有较强的通用性;⑦设计并实现了一个通用的人脸图象识别系统,实验结果表明,该系统在图象光照、尺度、旋转姿势情况下,得到了较好的识别效果。

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