表示的

基本解释 (translations)

denotative  ·  exhibitive  ·  exhibitory  ·  indicant  ·  indicatory  ·  denotive  ·  indicial  ·  significatory

与表示的相关的网络例句 [注：此内容来源于网络，仅供参考]

The first part of the book is concerned with rings and modules, matrices over a ring, affine geometry and projective geometry over a Bezout domain.

内容包括：基本概念，群表示的特徵标，点群的表示，群代数与对称群的表示，有限群的实表示与复表示，有限群表示在群论中某些应用和有限群的模表示等。

The paper aims at the difficulty of preference representation, according to the concept of preference number and structure and compound rule, builds the model for aggregating group preference, and denotes preference structure with model of neural network, then gives out a methodology that preference is denoted by interval number, builds the model based on neural network and group preference, so preference representation is nonlinear, self-adapting, relearning.

针对决策偏好表示和集结的难点，在给出偏好由数量描述和结构描述的概念基础上，根据群体决策复合准则，建立了群体决策偏好集结的模型，并将神经网络模型用于表示决策者的偏好结构。提出用区间数表示决策者偏好的方法，建立群体偏好表示的神经网络模型，使得偏好的表示具有非线性，自适应及可学习的特点。

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。

A new algorithm Eclat~+ was brought out, which is an improvement of Eclat and show good performance with a lot of datasets. We compare the two vertical formats, Tidset and Diffset.

本文系统地比较了Tidset垂直数据表示和Diffset垂直数据表示，对稀疏数据集，采用Tidset表示的数据库的规模远远小于Diffset表示。

With the experimental data, operation time of contour extraction of binary image represented by rectangle NAM is 0.31 to 0.86 times of that of image represented by matrix, operation time of Euler number computing of binary rectangle NAM image is 0.11 to 0.63 times of that of the pattern algorithm, operation time of connected component labeling of binary image represented by rectangle NAM is 0.08 to 0.37 times of that of image represented by matrix, 0.05 to 0.12 times of that of image represented by quadtree.

实验数据表明，采用矩形NAM表示的二值图像轮廓提取算法的执行时间是矩阵表示的0.31至0.86；矩形NAM表示的欧拉数计算执行时间是模板算法的0.11至0.63；矩形NAM表示的连通区域标记算法执行时间是矩阵表示的0.08至0.37，四元树表示的0.05至0.12。

The present fugacious success do not guarantee constant(这里用constant是因为这儿所表示的永远并非我们通常所指,而是指人生在世的几十年中持续不断的成功) success in future, because there are so many factors that will prompt things to change, such as the development of technology, the revolution of telecom,etc.

眼前短暂的成功不能保证未来永远的成功。

Supported by the National Science Foundation of China, this thesis concentrates on the image sparse representation theories, methods and the image processing applications based on sparse representation. We make deeply study for the applications based on multiscale geometry analysis, theories of overcomplete sparse image representation and its applications, theories of sparse image representation via combined transforms and its applications.

本文在国家自然科学基金项目&联合基图像稀疏表示理论研究及其应用&的资助下，针对图像稀疏表示理论、方法以及基于稀疏表示的图像处理应用问题，重点围绕多尺度几何分析在图像处理中的应用、基于冗余字典的超完备图像稀疏表示理论及应用、组合变换图像稀疏表示理论及应用等内容进行了探索性的研究。

This representation method not only wides SRC Ontology's 8 topological relation representation method, and provides more explicit formalization representation for spatial relation ontology modeling, but also make the practical application possible.

该表示方法比SRC-Ontology 8种拓扑关系表示更适合点、直线、面三类空间目标表示的需要，为空间拓扑关系建立本体模型提供了更加清晰明确的形式化表示基础，同时使得实际应用成为可能。

Curzon的Dictionary of Law定义为:A consensus of minds or evidence of such consensus in spoken or written form relating to anything done or to be done.

是对已做和待做的有关事宜以口头或书面形式做出的相同意思表示或该意思表示的证据。

Curzon的Dictionary of Law定义为:A consensus of minds, or evidence of such consensus, in spoken or written form, relating to anything done or to be done.

是对已做和待做的有关事宜以口头或书面形式做出的相同意思表示或该意思表示的证据。而在

与表示的相关的网络解释 [注：此内容来源于网络，仅供参考]

Cupboard love：有所贪图的爱; 因企图得到某物所表示的亲热

be crossed in love 失恋 | cupboard love 有所贪图的爱; 因企图得到某物所表示的亲热 | make love to sb. 向某人求爱; 与某人发生性关系

degree of a representation：表示的级

表示的等价|equivalence of representations | 表示的级|degree of a representation | 表示的权|weight of representation

denormal：非正常表示的

denary 十进制的 | denormal 非正常表示的 | denote 表示

denotative：指示的; 表示的 (形)

denotation 指示 (名) | denotative 指示的; 表示的 (形) | denote 指示; 表示 (动)

ancy,ency：表示"...的

refer-reference参考、参照 | -ancy, -ency表示"...的 | aero-: concerning the air or aircraft空气的;飞机的、航空的、飞行的

ancy,ency：表示"...的状态、...的性质

refer-reference参考、参照 | -ancy, -ency表示"...的状态、...的性质" | emerge-emergency紧急情况

indicatory：指示的/表示的

indicator /指示器/迹象/指示符/ | indicatory /指示的/表示的/ | indicia /标记/邮戳/

representable function：可表示的函数

representable 可表示的 | representable function 可表示的函数 | representable functor 可表的函子

representable：可表示的

representability 可表示性 | representable 可表示的 | representable function 可表示的函数

significative：有意义的; 表示...的 (形)

signification 含义 (名) | significative 有意义的; 表示...的 (形) | signifier 示意的人或物; 示意的符号 (名)