提出了一种基于支持向量机的改进的降维方法。
In this paper we present an improved dimensionality reduction method based on support vector machines.
广义相对论运用降维方法研究空间弯曲导致的超维空间。
The general theory of relativity studies super dimensional space caused by spatial curves using the method of dimensional reduction.
针对具有二维特征的辐射传热问题，介绍了一种降维方法。
A new dimensionality reduction method for calculating the radiant heat transfer with two dimensional characteristics was introduced in this paper.
高斯过程隐变量模型是最近提出的比较流行的无监督降维方法。
Gaussian process latent variable model (GPLVM) is a popular manifold method recently proposed for dimensional reduction.
提出一种采用神经网络进行电力系统短期负荷预测的降维方法。
A reduced dimensions method applying neural network is proposed for short term load forecasting.
但降维方法丢失了高维混沌的部分信息，存在着一定的局限性。
At present, reducing dimension is the leading method to study high-dimensional chaos, but such methods is limited due to losing some information.
实例计算表明，这种降维方法使测井资料高分辨率反演成为可能。
An example presented in the paper demonstrates that this reduction of dimension makes the high-resolution inversion of the normal well logging data possible.
本文利用轨线保稳降维方法提出了转子系统稳定性的量化分析方法。
Using trajectory based stability-preserving, dimensional-reduction, a quantitative stability analysis method for rotor systems is presented.
实验结果表明，该降维方法比较有效，并且较主成分分析具有明显的优势。
The experiment results prove that this method is efficient, and it outperforms the principal component analysis.
近年来降维方法作为智能识别中关键的数据预处理技术得到了较为成功地运用。
Dimensionality reduction algorithms, as the key technologies of data preprocessing in intelligent recognition, have been used successfully recently.
其次详细介绍STAP的基本原理，在此基础上研究空域降维和时域降维方法。
Secondly, the fundamental principle of STAP is presented in detail, and on that basis, the reduced-rank processing methods in both space domain and time domain are researched.
采用基于固定界面模态综合法的降维方法对大型实际非线性转子-轴承系统稳定性进行了分析。
A reduction calculation method based on fixed interface component mode synthesis is applied to analyze nonlinear dynamic stability of an actual large-scale rotor-bearing system.
局部线性嵌入(LLE)算法是有效的非线性降维方法，时间复杂度低并具有强的流形表达能力。
The Locaally linear Embedding (LLE) algorithm is an effective technique for nonlinear dimensionality reduction of high-dimensional data.
本文重点研究了高光谱遥感图像的降维方法，研究的主要内容如下：研究了高光谱遥感图像的特性。
This paper put its emphasis on dimension reduction, the main research contents are as following: the characteristic of hyperspectral remote sensing image is researched.
第一，提出一种有监督的潜在语义索引(SLSI)模型降维方法，用于文本分类任务中的特征表示。
The main contributions include: 1 a novel dimension reduction method, Supervised Latent Semantic Indexing SLSI, was proposed to represent documents for text classification tasks.
该方法避免了现有的神经网络降维方法必须对全部属性进行训练和裁剪的弊端，大大提高了属性选择的效率。
It avoids the deficiency of traditional neural network methods needing to train all attributions, which greatly improves the efficiency of attributions selection.
针对文本分类中信息增益降维方法的不足，提出了一种基于相对文档频的平衡信息增益(RDFBIG)降维方法。
To overcome the shortage of information gain in text categorization, this paper proposes a method of feature reduction based on the relative document frequency balance information gain (RDFBIG).
如同聚类方法，降维方法试图利用数据中的内在结构来总结或描述数据，所不同的是它以无监督的方式利用更少的信息。
Unsupervised Learning : Input data is not labelled and does not have a known result. A model is prepared by deducing structures present in the input data.
然而，上世纪90年代中期有一组数学家设计出了一种方法，能够对复杂的数据集进行降维。
However, in the mid-90s a group of mathematicians devised a technique for reducing the dimensionality of complex data sets.
方法将影响降维效果的个别变量点作为特例另行给出结论，不参与向量空间的特征描述。
Methods Several variable points were picked out of the computation of the correspondence analysis, and were concluded from their vector velues.
该方法在降维的过程中充分保留了图像颜色的本征特性。
It preserves the intrinsic merits of the original image color feature.
基于分层降维离散变量优化方法，对建立的数学模型进行了优化计算。
Based on gradation decreasing dimension method, the mathematical model is applied in scheme design of the gearbox.
基于分层降维离散变量优化方法，对建立的数学模型进行了计算。
Based on gradation decreasing dimension discrete variable optimum method, for established the mathematical model calculated.
传统的基于线性变换的主成分分析法(PCA)是一种有效的地震属性降维优化方法。
Traditional principal analysis method (PCA) based on linear transform is effective method of seismic attribute dimension-reducing optimization.
对PLS的主矢量所张成的子空间进行了数学分析，并对该方法的降维去噪能力进行了讨论。
A mathematical analysis for PLS main component was finished, and the ability of reducing dimension and noise filtration of this method was discussed.
本研究应用彩色多普勒血流会聚新方法评价了对二尖瓣狭窄的定量诊断，并与二维超声、压力降半时间及综合法测量二尖瓣狭窄进行了比较。
The quantification of mitral stenosis by using a new color Doppler flow convergence method was evaluated, and compared with two -dimensional echocardiography, pressure half- time and combined method.
该方法保留了信号的相位信息，并且能够有效地抑制噪声，在降维的同时简化了算法。
This method preserves the signals phase information and inhibits the noise effectively. The calculation dimension is reduced and the algorithm is simplified by using this method.
通过实例介绍了用降维卡诺图表示和化简逻辑函数的方法。
Through examples, this paper has explained the method to represent and simplify logic functions with dimension lowered Karnaugh maps.
通过实例介绍了用降维卡诺图表示和化简逻辑函数的方法。
Through examples, this paper has explained the method to represent and simplify logic functions with dimension lowered Karnaugh maps.
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