dimension vector造句

• The convergence property of p-dimension vector type dirichlet series
  线性微分方程幂级数解的收敛半径
• Key algorithm for creating topology relation of three dimension vector data model
  建立三维矢量数据模型拓扑关系的关键算法
• Reseach on maths model of two-dimension vector field reconstruction with inverse projection
  反投影重建二维矢量场的一种数学模型研究
• Factor analysis method is applied on the 31-dimension vector to get independent variables
  本文对31维特征向量运用因子分析法，得到了7个彼此独立的公因子变量。
• Traditional method faces the difficulties that need to handle high dimension vector and chinese word segment
  传统的中文文本聚类方法需要对高维向量进行处理,有对中文文本需要进行分词处理等困难。
• Gross and fine classification methods are used for chinese character recognition, respectively with a 4-dimension and 72-dimension vector
  对汉字识别采取粗、细二级分类方法，分别选择了4维和72维特征向量。
• Based on this model, the similarity between different documents can be calculated by finding marched phrases in documents, which avoided the process of chinese word segment and handling high dimension vectors
  在这种模型之上,可以利用文本当中任意匹配的短语来定义文本之间的近似程度,避免了对中文文本进行分词以及处理高维向量等问题。
• The linear algebra as a branch of mathematics is the science, which takes matrix theories as center and limited dimension vector space combining with matrix, namely the theories of the linear space and linear transformation, as the object
  线性代数是代数学的一个分支，它以矩阵理论为中心，以与矩阵结合的有限维向量空间即线性空间和线性变换的理论为对象的一门科学。
• In this paper, we first established the image metadata used in our system which based on the famous dublin core, then we analyzed the abstraction and description visual features of image such as color texture and shape . next, we discussed the problem of similarity measure of visual feature, imported fuzzy logic into the distance feature and pointed out the disadvantages of geometry space based methods . for multi-dimension vector's high dimension nature, it's hard to index with traditional methods, we discussed how to lower the dimension using clustering and klt transformation
  本文首先在dublincore的基础上制定了适合我们要求的图像元数据集；详细分析了颜色、纹理、形状等视觉特征的提取和表示方法；探讨了图像视觉特征相似度量的问题，将模糊技术引入直方图的距离度量，分析了几何空间距离度量函数的不足之处，提出了系统中采用的距离函数；针对图像视觉特征向量的多维特性，分析了现有的各种降维技术和多维索引技术。
• What the practical problems is often gotten is a single variable time series which has a time interval of t, reflect by a lot of interactive physics factor, containing the mark of all variates participating in movement, traditional time series analysis is to analyse going from this array to the form directly it's time develops, one dimension analysis loses useful information, the characteristics of phase space reconstruction method is to construct one dimension scalar quantity to high dimension vector, prop the geometry space of the state, show all dynamical information of system in phase space . the characteristic that just constructs again according to the phase space in this text, analyse the time series of responding, use the relevant knowledge of symbol dynamics and reconstruct phase space, put forward a kind of relation degree analysis method of the systematic mathematics model which has theory basis, so reach the correction of calculation mathematics model, make it accord with the actual systematic state
  实际问题中常常得到的是一个时间间隔为t的单变量的时间序列，它是许多物理因子相互作用的综合反映，蕴藏着参与运动的全部变量的痕迹，传统的时序分析是直接从这个序列去形式地分析它的时间演变，一维分析必然丧失许多有用信息，相空间重构方法的特点是把一维标量数据构造成高维矢量，支起状态的几何空间，在相空间中展示系统全部动力信息。本文正是根据相空间重构的特点，对响应时间序列进行分析，利用符号动力学、重构相空间等方法，提出一种有理论依据的系统数学模型关联度分析方法，从而达到修正计算数学模型，使其更符合实际系统状态的目的。
• Based on the international general metadata standard dublin core, we first established the military image metadata, and then analyzed the extraction and description of the visual features such as color, texture and shape . next we discussed the similarity measurements of visual features, imported fuzzy logic into the distance feature, compared correlative performances, pointed out the disadvantages of space-based geometry functions, and brought forward a distance function . for multi-dimension vector's high dimension nature, we probed into the existing dimension-lowering technology and multi-dimension index technology, and selected the most suitable method to establish multi-dimension index in our system
  首先在国际通用的元数据标准dublincore的基础上制定了适合军队要求的图像元数据集，并详细分析了颜色、纹理、形状等视觉特征的提取和表示方法；接着探讨了图像视觉特征相似度量的问题，将模糊技术引入到颜色直方图的距离度量中并进行了相关性能的分析比较，指出了几何空间距离度量函数的不足之处，改进了系统中采用的距离函数；然后针对图像视觉特征向量的多维特性，分析了现有的各种降维技术和多维索引技术。