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feature space decomposing 特征空间分解
This paper employs feature selection theory and pattern aggregation theory to reduce feature space dimension. 应用特征选取和模式聚合理论以降低特征空间维数。
High accuracy DEMs is an important data in study of soil erosion and terrain feature space analysis. 高精度数字高程模型(DEM)是水土流失规律研究与流域地形空间分析中重要的空间数据。
This paper presents a multiclass neural network classifier to learn disjunctive fuzzy information in the feature space. 本篇论文提出一个类神经网路分类器来学习多类的分离模糊资讯。
And relations between Contact Feature Space and tools' surface meshes are established. 并建立了接触特征空间和模具曲面网格的对应关系。
In this algorithm the classification of samples in the critical zone is decided by the voting of K-NN set in the feature space and the sample space. 该方法将特征空间分类超平面附近的样本分类，交由特征空间和样本空间中的K-近邻集体投票表决。
In the feature space, the mixing signals form a smaller submanifold, and an orthonormal basis of the submanifold is constructed. 将接收的混合信号映射到一个有限高维核特征空间，在这个特征空间中，利用核主成分分析方法寻找混合信号形成的子流形的一组正交基。
The received mixing signals are first mapped to high-dimensional kernel feature space, and an orthonormal basis of the kernel feature space is constructed. 该算法首先将混合信号映射到高维核特征空间，同时构造该核特征空间的一组正交基。
KDE of the color difference value between the corresponding matching elements is calculated in difference feature space and selected as the similarity measure. 将匹配基元中对应像素点的颜色差值在差值特征空间中进行核密度估计,并以此作为相似性测度。
Open galleries feature spaces for the display of larger, more dramatic works. 开放的画廊艺术空间功能更大，可吸收更多的更赋有戏剧性的作品。
Corners are extracted using improved Harris operator, and feature space of Corner is built based on average square gradient matrix. Then three steps of matching strategy are adopted to realize image matching. 该算法采用改进的harris算子提取特征点(角点),并建立角点特征空间,根据三级匹配策略,实现特征点的匹配,完成图像配准。
The data space was mapped to high dimension feature space with Mercer kernel function, and fuzzy kernel learning vector quantization (FKLVQ) was done on the feature space to obtain the effective and stable clustering weight vectors. 该方法通过Mercer核,将数据空间映射到高维特征空间,并在此特征空间上进行FKLVQ学习获取数据空间有效且稳定的聚类权矢量,然后在特征空间和输出空间上仅针对各空间的数据样本和它们各自的聚类权矢量进行Sammon非线性核映射。
In this paper, the DCV is extended to nonlinear case, by performing the Gram-Schmidt orthogonalization twice in feature space, which involving computing two kernel matrices and performing a Cholesky decomposition of a kernel matrix. 该文将DCV方法推广到非线性领域,将两次Gram-Schmidt正交化过程,转化为只需计算两个核矩阵和进行一次Cholesky分解完成,且得到的非线性Fisher鉴别矢量有标准正交的性质。
Aiming at the task of Chinese Prepositional Phrase Identification, we proposed that word and part-of-speech are the main factors which construct a feature space of ME model. And an algorithm is presented to automatically acquire a feature set. 因此在本文中针对汉语介词短语的划分和识别，提出了词、词性标注是构成介词短语识别的主要因素，并根据这几种因素结合介词短语的语用特征来确定最大熵模型的特征空间，从中自动获取介词短语识别的有效特征集合。
Based on the initial clusters center generated by the LBG in every speakers feature space,every sample can be classified,so every clusters area can be parallel covered by the PONN. 该方法以LBG算法生成每个说话人特征空间初始的聚类中心,对本类样本按聚类中心分类后,用前馈优先级神经网络(PONN)对每个聚类区进行并行覆盖。
The original inputs are firstly mapped into a high dimensional feature space, then score vectors are calculated in high dimensional feature space so that dimensions of the sample are reduced. 首先把初始输入映射到高维特征空间，然后在高维特征空间中计算得分向量，降低样本的维数，再用最小二乘支持向量机进行回归。
In this paper, we analyze these peculiarities, and conduct experiments on a corpus of 1000 web page to contrasts three feature selection techniques for dimensionality reduction of the feature space. 本文分析了网页内部特征，并在1000篇网页规模语料岸的基础上，通过试验对比了三种特征选择方法对高维特征向量空间进行降维的效果。
Tell that joker to stop using my parking space. 叫那个家伙不要占用我的停车场。
There is plenty of space here to move about. 这里有很大的活动空间。
We're a bit cramped for space in this attic. 在这间阁楼里我们有点活动不开。