The query of High dimension data attracts more and more attention.
目前，高维数据的快速检索问题已经受到越来越多的关注。
The method is suitable for large scale and high dimension data classifying problem.
该方法适用于大规模及高维属性的数据分类问题。
This paper constructs one kind of new class template which deal with high dimension data.
本文构建了一种新的高维数据类模板。
Reducing the high dimension of feature vectors is an essential part of text categorization.
对高维的特征集进行降维是文本分类过程中的一个重要环节。
It can reduce classifier space with high dimension, and then learn a combiner in lower dimension.
该方法将高维分类器空间压缩至低维分类器空间，并在该空间内学习集成器。
When we measure the high dimension system, we usually acquire the one-dimension time series of this system.
对高维系统的测量得到的通常只是一维时间序列。
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。
Distribution network planning is generally a high dimension and nonlinear combinatorial optimization problem.
配电网规划模型具有非线性、高雏数的特点，属于复杂组合优化问题。
A combined optimization decision tree algorithm suitable for a large scale and high dimension data-base is presented.
提出了一种适合于大规模高维数据库的组合优化决策树算法。
As for the undivided linear sample space, the kernel function is needed to map onto another high dimension linear space.
对于线性不可分的样本空间，需要寻找核函数，将线性不可分的样本集映射到另一个高维线性空间。
The practical rotor-bearing system is of high dimension and strong nonlinearity, so it is difficult to analyze it directly.
实际转子—轴承系统是高维非线性的，直接分析求解十分困难。
Float vector based image feature has high dimension and usually makes use of Euclidean distance as its similarity definition.
浮点矢量图像特征维数较高，且通常以欧氏距离作为矢量之间的相似度定义。
According to indirectly coupled Chua's circuit, we can observe high dimension hyperchaotic system's characteristic of behavior.
并根据非直接耦合的蔡氏电路，观测到了高维超混沌系统的行为特征。
Some problems have been found in classical optimization methods to solve high dimension, multi-modal and other complex systems.
传统的优化方法在处理大维数、多模态等复杂问题上存在诸多不足。
As a new machine learning method, SVM can solve the small sample, nonlinear, high dimension and local minima, the actual problem.
作为一种新的机器学习方法，SV M能较好地解决小样本、非线性、高维数和局部极小点等实际问题。
The effectiveness and efficiency of the algorithms have been shown by experimental results, especially for the high dimension data warehouses.
实验证明了一系列算法的效率和有效性，尤其适合数据仓库中的高维数据集。
The generation expansion optimization is high dimension, nun-linear, randomness problems. The convention algorithm hardly finds the best solution.
电源优化问题具有高维数、非线性、随机性等特点，常规的优化算法难以求解到最优解。
Support vector machines (SVM) is a new nonlinear modeling method which is suitable for solving small samples and high dimension modeling problems.
支持向量机(SVM)作为一种新型的非线性建模方法，适合于处理小样本和高维数的建模问题。
The aim of Multiscale Geometric Analysis is to find a kind of optimal representation of high dimension function in the sense of nonlinear approximation.
多尺度几何分析旨在构建最优逼近意义下的高维函数表示方法。
Multiplayer shells assembly have characteristic, which are high dimension precision, strict form and position tolerance, difficult bond technology and etc.
多层壳体组件具有尺寸精度高、形位公差要求严、粘接难度大等特点。
High dimension was changed into low dimension by using principal component analysis method, process detecting could be carried out in the low dimension space.
应用主元分析方法将高维数据转换到低维数据空间，这使得过程监测可以在低维的空间内进行。
When solving this small sample problem with high dimension and nonlinear, many traditional pattern recognition methods will tend to occur overfitting phenomenon.
对于这样一个高维数、非线性的小样本问题，许多传统的模式识别方法都容易出现过学习或欠学习现象。
Compared with some other modeling methods, such as ANFIS, the proposed model is of less computation, higher accuracy, especially for high dimension data modeling.
与其他建模方法相比，如anfis，模糊树模型计算量小，精度高，尤其在高维数据建模中更为明显。
Fully closed precise plastic forming processes are suitable to the forging which have complex shape, high dimension accuracy, good surface quality and using properties.
闭塞式精密塑性成形工艺适合于成形一些形状复杂、尺寸要求、表面质量和使用要求较高的零件。
The general fractal dimension algorithms of image have the disadvantage of the precision and the speed especially when applied to the high dimension images for the moment.
分析了当前计算图像分形维数的算法普遍存在对高维数图像计算误差较大且计算量大的缺点。
Polynomial kernel function is applied to map face distribution of low dimension space to that of high dimension space, and decide which set that face to be recognized belongs to.
故本文运用多项式核函数将人脸分布的低维空间映射到高维空间，并在此空间判别“待识别人脸”是否属十某个人脸覆盖集合。
Face recognition based on rough set and neural network was proposed for the shortcoming of high dimension of PCA face recognition and low recognition rate for non-training samples.
基于粗糙集和神经网络的人脸识别方法是针对PC A方法中存在的高维数问题和它对未训练过的样本识别率低的缺点而提出的。
Support vector machine is a kind of machine study algorithm based on statistic theory, it has special advantage in solving small sample, non-linear and high dimension mode recognition.
支持向量机是一种基于统计理论的机器学习算法，在解决小样本、非线性及高维模式识别中有独特的优势。
A kind of three-phase models of three-winding transformers were presented which overcame some drawbacks in the existent models such as the large error or high dimension and singularity.
本文提出了三绕组变压器的一种新的三相模型，这种模型避免了现有模型存在的误差大或维数高以及奇异性问题。
A kind of three-phase models of three-winding transformers were presented which overcame some drawbacks in the existent models such as the large error or high dimension and singularity.
本文提出了三绕组变压器的一种新的三相模型，这种模型避免了现有模型存在的误差大或维数高以及奇异性问题。
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