On the basis of this model, the concept of Contact Feature Space is proposed.
在此基础上提出了接触特征空间的概念。
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。
Eventually come to Hangzhou in the Late Qing Period Residence essential feature space.
最终得出杭州在清末民初时期的住居空间本质特征。
We propose a multi-resolution classification strategy based on the partition of feature space.
提出了一种基于特征空间划分的多分辨率分类器求解策略。
In this paper, a novel fuzzy membership function model is presented based on the feature space.
文章提出了基于特征空间的模糊隶属度函数模型。
Diffuse time coffee shop store design is a feature space with culture shock, artistic atmosphere.
漫时光咖啡厅店面设计是一个带有文化冲击、艺术氛围的特色空间。
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 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。
A stochastic clustering method based on pairwise similarity of elements was utilized to cluster feature space.
利用基于元素间相似性的随机聚类方法对特征空间进行聚类。
In this study, a nearest feature space embedding (called NFS embedding) algorithm is proposed for face recognition.
在这项研究中，最近特征空间嵌入(称为NFS嵌入)算法提出了人脸识别。
Hence, the key point is how to learn a proper distance metric automatically from the feature space of labeled images.
因此，如何能够从有类标的图像特征空间中自动学到一种合适的距离测度就显得十分关键。
Every space has a clearfunction, reflected in these different use function content constitutes the basic feature space.
每个空间都有明确的使用功能，这些不同的使用功能所体现的内容构成了空间的基本特征。
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。
MFCC USES intermediate clustering results in one type of feature space to help the selection in other types of feature Spaces.
MFCC充分利用了一个特征空间的中间聚类结果来帮助另一个特征空间进行特征选择。
This paper presents a multiple templets matching algorithm based on feature space trace, which is used in speaker recognition.
提出一种用于说话人识别的方法基于特征空间轨迹的多模板匹配法。
In research, sample data were mapped to sparse feature space to prevent the loss of SVM's sparsity when the kernels were fused.
为避免在进行核融合时，支持向量机稀疏性的缺失，提出将数据映射到稀疏特征空间进行研究。
In this paper several definitions are given, such as dynamic feature space of patterns and dynamic recognizability of patterns.
为了应对这类困难情况，本文定义了模式的动态特征空间和模式的动态可识别性等概念。
There exists a basic assumption: the training data and test data are drawn from the same distribution and the same feature space.
其中有一个基本的假设条件：训练数据与测试数据来自相同的特征空间而且服从相同的概率分布。
This algorithm is a combination of kernel trick with the covering algorithm, and is used to extract the support vectors in feature space.
该算法将核技巧与覆盖算法相结合，并在特征空间中抽取支持向量。
The optimum selection of bands and its combinations in remote sensing classification and the method for expanding feature space are presented.
本文结合第四纪沉积物类型的划分，讨论了遥感分类中最佳波段和波段组合的选取以及特征空间的扩充方法。
However, as the conventional FCM doesn't optimize data in feature space and doesn't involve any spatial information, it is sensitive to noise.
但是传统的算法未对数据对特征进行优化，亦未考虑图像的空间信息，对噪声图像分割不理想。
The Support Vector Machine (SVM) can flexible to decide boundary in a high-dimensional feature space, because of its strong global convergence.
而支持向量机(SVM)能够在一个高维特征空间中灵活的判别边界，具有很强全局收敛性。
After training samples and test samples are respectively projected towards the fusion feature space, recognition features are accordingly gained.
训练样本与测试样本分别朝融合特征空间投影，从而得到识别特征。
In this paper, cluster analysis was used for the initial classification in the feature space consisting of intensity of a MR image and its textures.
本文采用聚类分析法，由单谱图象的灰度和纹理参数构成特征向量，进行初始分类。
The method firstly organizes support vectors in clusters in feature space, and then, it finds the pre-images of the cluster centroids in feature spa.
此方法首先在特征空间中对支持向量进行聚类，然后寻找特征空间中的聚类中心在输入空间中的原像以形成约简向量集。
In classification, feature space heterogeneity is an important kind of data characteristics, and impacts significantly on the classification performance.
在分类问题中，特征变量异质性是一种重要的数据特性，对于分类方法的应用结果具有显著影响。
Then it studies segment color images in the feature space to choose a method which bases on non-supervise, and the experiments have testified the efficiency.
而后选择了一种在特征空间进行非监督学习的算法，对彩色图像进行了分割，实验证明该方法识别率很高。
Moreover, in IDDT diagnosis, the conception of fault feature curve and feature space is proposed to diagnose the fault in the analog and mixed-signal circuit.
此外，对动态电流故障诊断算法提出特征空间和特征曲线的概念，以实现对动态电流信号中的故障信息的有效提取。
Moreover, in IDDT diagnosis, the conception of fault feature curve and feature space is proposed to diagnose the fault in the analog and mixed-signal circuit.
此外，对动态电流故障诊断算法提出特征空间和特征曲线的概念，以实现对动态电流信号中的故障信息的有效提取。
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