特征向量

We find serval conditions that are equivalent to 2-tournament matrices being singular,give the bound for the maximum algebraic multiplicity of 0 as an eigenvaulle of n order2-tournament,obtion the spectral radius of a singular 2-tournament matrix of order nis bounded above by n-2,and investigate 2-tournament matrix achieving this bound.

第五章讨论了2-竞赛矩阵的奇异性和特征值之间的关系，得到了2-竞赛矩阵奇异的充要条件，给出了2-竞赛矩阵的零化向量的刻划，得到了得分向量，3-圈数目与奇异性的关系；给出了2-竞赛矩阵的特征值0的代数重数的上下界，得到了奇异的2-竞赛矩阵谱根的最大值及谱根达到最大值的竞赛矩阵的得分向量的特征。

Two-phase-learning is adopted. The strongpoint is that intuitionistic knowledge can be used to control the segmentation by using input-weight and distant-weight. Examples prove that segmentation using SOFM network is right and efficient. Surface fitting is an absolutely necessarily process in REGM. Surface fitting includes algebraic and parametric surface fitting. Algebraic surface fitting has not extra requirement for data distribute format and boundary shape.

第三种方法把人工智能用于反向工程的数据分区，因为数据分区的实质是相似特征的聚类，而神经网络可以实现自组织特征映射，在本论文中第一次把自组织特征映射神经网络用于多视图点云的数据分区，通过神经网络对数据点的坐标、法向量等几何特征进行聚类，并且运用了快速稳定的训练方法——两阶段训练算法，最重要的是，通过距离权值和输入权值可以把用户观察所得的直观知识加入聚类过程。

The generalized Walsh spectral characteristics and the generalized auto-correlation function characteristics of orthormophic permutations are studied by using of knowledge about the relation between orthomorphic permutations and vector Boolean functions.

运用向量布尔函数的知识研究了正形置换的广义一阶Walsh谱特征和广义自相关函数的特征，通过正形置换的广义一阶Walsh谱特征给出了正形置换的几种构造方法。

Firstly, those useless to classify texts are filtered according the category document frequency distribution difference of each feature; and then in order to overcome the limitations of TF-IDF weighting formula a novel weighting formula called TF-CDF is presented . Calculate the weight of each feature according to TF-CDF and build the Vector Space Model for the entire corpus. To select significant features, a feature selection approach based on Variable Precision Rough Set is also proposed and implement with some SQL sentences combining the definitions of VPRS with the advantages of SQL sentences.

该文首先根据特征词的类别分布差异进行特征过滤；然后，分析传统的权值公式TF-IDF的缺点，采用改进的权值计算公式简记为TF-CDF，依据TF-CDF公式计算每个特征词的权值，生成文档集的向量空间模型VSM；接着，提出了一种基于可变精度粗糙理论的特征选择进一步选择对分类贡献度大的特征，并用SQL实现。

Instead of using a single term vector as event representation, the terms into four semantic classes are split(names, temporal expressions, spatial terms and contents) according to the semantic diffirence of them, form four vector spaces, and process and weigh the classes separately.

该方法没有使用传统向量空间模型中的单个向量，而是按照语义将特征词划分为4个组（人物，时间，地点，内容）并形成4个向量空间，每个空间进行独立的权重计算和相似度计算。

The feature points from two images were extracted by Harris corner detector, then the corresponding feature point pairs were got by the cross-correlation of the gray scale around the feature points, and the mismatched pairs were eliminated based on the Eulerian distance of the transformation parameter vector.

提出了一种基于特征点的图像拼接算法，首先利用Harris角点检测提取两幅图像中的特征点，用特征点邻域灰度相关性将特征点进行匹配，并在此基础上根据变换参数向量的欧式距离对误匹配进行剔除，进而实现图像拼接。

Instead of statistical description, a feature subspace with the base of some significant eigen vector extracted from covariance matrix is constructed to describe speech feature distribution of speaker. Distance metrics for measuring distance between input feature vector and subspace are also proposed for pattern matching.

说话人语音训练样本提取特征后在语音特征观察空间形成具有一定散度的分布，根据主元分析原理和分布散度提取主要散度本征向量作为基底构成说话人语音特征子空间，并通过测试语音特征矢量与子空间的距离测度进行模式匹配。

Animal's welfare can be feed back from their vocalism. We had some experiments to get 35 days old chicken's vocalization in different environment, including normal environment、 light off environment and people's disturbing environment. On the base of Mel Frequency Cepstral Coefficient, We introduction a new algorithm for feature extraction---Subband Mel Spectrum Centroid. We used support vector machine classification model to evaluate the performance of using different sound parameters.

本文通过研究35日龄海兰褐蛋鸡在正常状态、光照与人为干扰等应激下发声信息的变化特征，提出基于子带梅尔频谱质心的优化特征参数，并通过建立支持向量机模型，比较了采用优化特征参数与梅尔频标倒谱系数及其一阶、二阶导数组成的特征参数（MFCC_39）在识别不同应激中的应用效果。

Through merging the grids over the physically less important subregions and computing new topology skeleton of the vector field defined on this area, a physical feature preserving topological simplification is performed perfectly. Meanwhile, a remarkable data compression is implemented as well.

通过合并次要物理特征所在区域上的网格及在新网格布局下重新提取向量场拓扑，该算法不仅能完好地保持场内的重要特征，还能同时实现向量场的数据压缩。

This method first maps training data into a high dimensional feature space through kernel function concept in Support Vector Machine and constructs orthogonal space in the feature space. Then it maps the data from feature space into the orthogonal space and computes Fisher criterion based global orthogonal discriminants.

首先应用支持向量机中核函数的概念，将样本隐式地映射到特征空间，然后构造特征空间的正交空间，再将特征空间样本映射到特征空间的正交空间，求解基于Fisher的全局正交鉴别矢量集。

In the negative and interrogative forms, of course, this is identical to the non-emphatic forms.

。但是，在否定句或疑问句里，这种带有"do"的方法表达的效果却没有什么强调的意思。

Go down on one's knees;kneel down

屈膝跪下。。。下跪祈祷