查询词典 attribute error

The monotony and extremum theory of function are applied to prove the geometrical characteristic of error hand for 2D linear segment uncertainty ε(subscript σ) model in theory. The result shows that the error hand has the geometrical shape of "larger ends and smaller middle" or "one end larger and the other smaller". The minimum width and its exact position of the error hand are calculated too. It is proved that the minimum width position of the error hand is near the end with the smaller mean square error.

运用函数单调性和极值理论，从理论上证明ε模型的误差带的几何特征；得到线元误差带不仅具有&两端大、中同小&，而且也可能具有&一端大、一端小&的几何形状；给出了误差带的最小带宽及其位置；论证了误差带的最小误差带宽的位置靠近中误差较小的一端。

The traditional distinction based on the matrix attribute reduction algorithm analysis, for distinction in the matrix "repeat" Too many elements, these "duplicate" elements not only in solving attribute reduction in the process does not work, But also reduce the time efficiency by improving the shortcomings that distinction in the matrix structure in the process of using Proposition calculus in the absorption of the law removed the distinction between the functions of the non-functional "repeat"element, a property Reduction of improved algorithm RADM, improve the efficiency of the attribute reduction.

通过对传统的基于区分矩阵的属性约简算法进行分析后，针对区分矩阵中"重复"元素过多，同时这些"重复"元素非但在求解属性约简的过程中不起作用，而且还降低时间效率这一缺点进行了改进，即在构造区分矩阵的过程中，利用命题演算中的吸收律去掉了在区分函数中不起作用的"重复"元素，提出了一种属性约简的改进算法RADM，提高了属性约简效率。

In this paper, each of single data stream that is included in data streams has same attributes set as other,the unit of single data stream is tuple,and same attributes set is included in each of these tuples.Reservoir algorithm is used to sample from these single data stream respectively,then some multiple snapshot windows are constructed,the relationship between these single data stream and multiple snapshot windows is bijective mapping,the relationship between attributes that are included in tuple and snapshot windows that are included in relative multiple snapshot windows is bijective mapping,and the relationship between basic windows that belong to same snapshot window and the attribute values that come from different single data stream is bijective mapping as well,that is,these attribute values come from same attribute that is comprised by different single data stream.

针对以元组为单位流入的具有相同属性集的多支单数据流组成的多数据流，提出了分别对每支单数据流进行蓄水池抽样，构造一一对应于各单数据流的若干个多快照窗口，即两者之间是双射关系，可以将多快照窗口串行置于主存中，将元组包含的属性与多快照窗口中的各个快照窗口一一对应，且使得同一快照窗口中的各基本窗口与取自其对应的单数据流的属性值样本一一对应，然后对这些相互独立的样本进行方差分析。

To regulate policy composition and guarantee its correctness, an algebraic model called APoCA (attribute-based access control policy composition algebra) is proposed for composing access control policy. In APoCA, an authorization relation between entities is described at the attribute level. APoCA fertilizes the existing formal frameworks by taking into account the computation of attribute values.

为了规范策略合成和保障策略合成正确性，基于属性刻画了实体间的授权关系，通过属性值的计算结构扩展了现有的策略合成形式化框架，建立了新的基于属性的策略合成代数模型APoCA(attribute-base access control policy composition algebra)。

A server controller controls the web-page generator to generate a first web-page to display at least one attribute and attribute values of the at least one attribute on the basic web-page displayed on the user terminal.

服务器控制器控制网页生成器以生成第一网页，以在显示在用户终端上的基本网页上显示至少一个属性和该至少一个属性和属性值。

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。

At first, four feature attributes were built by content of DNA's four bases. By increasing length attribute of DNA sequence in the space to extent the feature attribute space. Finally, the classification of hyperplane was obtained on the basis of available samples training by using SVC in the feature attribute space.

根据SVM分类器的要求建立特征属性空间，首先由每个DNA中4个碱基的含量得到4个特征属性，然后在此空间中扩充DNA序列长度的属性，最后根据SVM分类器对已知的DNA分类样本做训练得到分类超平面。

This paper presents three new concepts - complex attribute ideal value of alternative, complex attribute negative ideal value of alternative and satisfactory degree of alternative in uncertain multi attribute decision making, and gives a singular objective optimization model.

定义方案的综合属性理想值和综合属性负理想值，提出不确定多属性决策中的一个新概念——方案满意度，给出一种基于方案满意度的单目标最优化模型

With regard to the fuzzy multi attribute decision making problems, in which the information about attribute weights are unknown completely and the attribute values are in the form triangular fuzzy numbers, a method based on the linear programming model and projection of fuzzy numbers vectors is proposed.

针对属性权重完全未知且属性值为三角模糊数的模糊多属性决策问题，提出了一种基于线性规划和模糊向量投影的决策方法。

In random information systems,based on the indiscernibility relation,the concept of in discernibility attribute matrix is proposed and the relationship between discernibility attribute matrix and in discernibility attribute matrix is shown.

在随机信息系统中，根据不可辨识关系，提出了不可辨识属性矩阵的概念，证明了不可辨识属性矩阵与可辨识属性矩阵的关系，最后提出了一种基于不可辨识属性矩阵约简算法。

A carrier gas such as nitrogen is directed through line 20 and valve 22 to connect with line 26 and mix with the gas sample.

如氮气之类的载体通过管线20和阀22引入，与管线26相通，与气体样品混合。

But for the most part, knaves and parasites had the command of his fortune

然而支配他的家产的大多是恶棍和寄生虫。