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。
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。
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。
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。
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。
Image fuzzy sets are taken as feature space, and the exact positions are optimized by using 3 layers forward neural network algorithm.
该算法将图像模糊集作为特征空间，尝试了在模糊域中采用3层前向神经网络搜索算法进行精确寻优的方法。
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。
Numerical simulation shows that the proposed method can reduce the dimension of the feature space, and has higher correct classification rate.
数值实验表明，该方法可以降低特征空间维数，具有较好的分类准确率。
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。
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。
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。
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。
In the field of human face tracking, we contrast several main similarity methods nowadays, and adopt a method of human face tracking based on feature space model.
在人脸跟踪领域，本文对比了当前几种主要的相似度匹配方法，采用了一种基于特征空间模型的人脸跟踪方法。
The continuous attribute problems are often encountered in the real world, but many outstanding inductive learning algorithms are mainly based on a discrete feature space.
实际问题中经常涉及连续的数值属性，然而许多归纳学习算法却是针对离散属性空间的。
For each bone X ray image, the distance from its features to the two prototypes in feature space is computed to provide an objective judgement on the degree of osteoporosis.
对每一幅骨x线图像，在特征空间中计算其特征到两个标准的距离来提供对骨质疏松程度的客观评价。
Mean shift based image segmentation algorithm is a kind of kernel density estimation based feature space analysis algorithm, and the nature of it is statistical optimization.
均值漂移算法是一种基于核密度梯度估计的特征空间分析算法，其实质是一种统计优化过程。
Conventional algorithms assumed that the consistency constraint is defined on the original feature space. However, the original feature space is not the best for defining consistency.
传统的算法一致性约束是定义在原特征空间中，但是在原特征空间中定义的一致性不是最好的。
Firstly, using pattern aggregation theoretical models to extract features, merge the features which have the similar contributions to text classification, then a new mapping feature space is formed.
首先采用模式聚合理论进行特征抽取，将对文本分类具有相似贡献的特征合并，映射为新的特征空间。
To make full use of the feature information of signals in feature extraction for target recognition and classification, this paper discusses establishment and feature compression of raw feature space.
为在特征提取中充分利用目标信号的特征信息，对原始特征空间的建立和特征压缩的过程进行了讨论。
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。
Feature space is high dimensional and sparse in text categorization, the process of dimension reduction is a very key problem for large-scale text categorization.
文本分类中特征向量空间是高维和稀疏的，降维处理是分类的关键步骤。
Feature space is high dimensional and sparse in text categorization, the process of dimension reduction is a very key problem for large-scale text categorization.
文本分类中特征向量空间是高维和稀疏的，降维处理是分类的关键步骤。
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