Mixtures of factor analyzers, is a nonlinear tool for high-dimension data.
混合因子分析模型是一种非线性的分析高维数据的工具。
Experimental study has been carried out with this two-level MEC algorithm in high-dimension space.
使用该双层MEC算法进行MEC高维空间的性能的实验研究。
But as to high-dimension functions with too many local Pareto optimal fronts, it traps in local Pareto optimal front easily.
但在处理高维的具有太多局部最优前沿的多峰函数时极易陷入局部最优前沿。
We often use high-dimension feature vectors to achieve this goal, however, the large amount computation will make exhaustive retrieval infeasible.
三维模型的特征一般用高维的特征向量表示，但是这会带来更多的计算量，从而使耗尽型搜索变得不可行。
EEG signal is characterized by high-dimension chaotic. The prediction of chaotic signal is an importance area of chaos theory and its application.
脑电(EEG)信号具有高维的混沌特性，混沌信号的预测是当前混沌理论与应用研究的一个重要方向。
An incremental training method for support vector machine is proposed to alleviate the computing burden of large-scale, high-dimension samples in multi-component gas analyzing.
针对大规模高维气体分析样本难以计算的问题，提出一种提升的支持向量机学习方法。
One is the stochastic extended form of the high-dimension Melnikov method which make it possible to choose proper noise excitation to extend the chaos window of a dynamical system.
一是提出了一种高维随机梅尔·尼科夫推广方法，这一方法使得我们顺利利用合适的噪声扩大系统混沌窗口成为可能。
The concept of attributed relational graphs was introduced to describe the structure of form layout, expressing the complex high-dimension relationship between the components of the form.
提出了一种面向对象的表格图像版面分析方法，引入属性关系图的概念来描述表格版面结构，以表达表格组件间的复杂高维关系。
However, most existing research results are main about the prediction of the low-dimension chaotic signal, we investigate the prediction of high-dimension chaotic EEG signal in this paper.
但是当前的研究多数是针对低维混沌信号，本文对高维混沌特性的脑电信号的预测研究作初步探讨。
According to the characteristic of higher secrecy of high-dimension chaotic system, a new colour image encryption algorithm based on unified chaotic system and general cat maps was proposed.
根据高维混沌系统具有更高安全性的特点，提出一种基于统一混沌系统和广义猫映射的彩色图像加密新算法。
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 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。
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。
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。
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。
Realizes high, dimension data feature extraction algorithm by using debasing dimension of data.
实现了基于数据降维的高维数据特征提取算法。
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。
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。
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。
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。
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 method of support vector regression which can well resolve the problem with the insufficient swatch, nonlinear and high dimension is introduction to predict the development index of gas-field.
同时针对神经网络易于陷入局部极值、结构难以确定和泛化能力较差的缺点，引入了能很好解决小样本、非线性和高维数问题的支持向量回归机来进行油气田开发指标的预测；
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。
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。
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。
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。
An process of ion bombardment heat treatment for high dimension precision slender rods was discussed through treating the valves with different loading ways, heating temperature, and heating ways.
以气门的离子轰击热处理为研究对象，通过对装炉形式、处理温度及工艺方法等试验，探讨了尺寸精度要求较高的细长杆件的离子热处理工艺。
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。
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。
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