查询词典 feature space

Next, kernel PCA is used to construct a set of orthogonal coordinate base in feature space.

其次，在特征空间中，利用协方差矩阵的非零特征向量构造了一组正交基，并将变换后的光谱向量投影到特征空间中的正交基上。

Methods for feature space discretization based cluster algorithm and class conditional probability distribution estimation are proposed.

首先针对应用贝叶斯决策理论时难以估计类条件概率密度函数的问题，提出了特征空间离散化及相应的类条件概率分布的估计方法。

A compact covering in the feature space emphasizes the similarity, rather than divisions, among homologous group members.

这种覆盖方法强调了同源样本间的连续性，而不是Fisher理论体系所强调的不同类样本间的差异。

For objects with a high dimensionality feature space and a data set with large amount of samplesthat belong to many different classes, it is useful to divide and discompose them according to MIDA.

一个值得研究的方案是将覆盖的思想(或基于覆盖的对数据的描述方法)应用于特征选择的主分量分析，为此，引入点对的概念，提出了点对主分量分析方法DPCAA(Double-point Principal Component Analysis Algorithm)。

As the result of using Euclidean norm metric, the performance of traditional FCM clustering algorithm is subject to the structure of sample patterns in feature space.

一是针对SAR图象，提出了基于混合偏移Rayleigh分布假设的最小误差算法；二是针对低质量图象，提出了基于散射图SEM估计的MAP聚类算法。

Isomap is one of the representative techniques of nonlinear dimensionality reduction.It extends classical multidimensional scaling by considering approximate geodesic distance. However,Isomap is sensitive to noise because the approximate geodesic distance is constructed on the basis of Euclidean distance. In this paper,a kernel-induced distance metric defined in the feature space is introduced instead of the Euclidean distance to evaluate the geodesic distance and construct the corresponding neighborhood graph.

采用核方法在特征空间推导出一类异于欧氏距离的新度量，代替等度规特征映射中的对噪声敏感的欧式距离，用新度量构造测地距离和相应的最小近邻图，提高Isomap算法的抗噪声能力。

To improve the training speed performance of large-scale support vector machine, a fast algorithm is proposed by exploiting the geometric distribution of support vector in feature space.

如何降低支持向量机海量训练样本的数目，是提高算法速度的关键。

A fuzzy membership model based on support vector data description is proposed to fuzzify all the training data. Then the model is introduced into least square support vector machines. Data samples in input space are mapped into a high dimensional feature space, and then the smallest enclosing hypersphere is found.

将模糊隶属度概念引入最小二乘支持向量机，提出一种基于支持向量数据域描述的模糊隶属度函数模型，将输入空间中的样本映射到一个高维的特征空间；然后根据其偏离数据域的程度赋予不同的隶属度。

Mapping image space into gray feature space makes computing speed go up enormously, meanwhile, the optimal performance keeps unchangeableness.

模糊竞争学习的引入，解决了竞争学习中神经元利用不足的问题。

This model uses nonlinear mapping to map samples into high dimensional feature space, and compares the distribution of each type of samples in the high dimensional space. So that a binary decision tree is constructed through clustering, which can make the more separable classes classified at the upper node of the binary decision tree. The model overcomes the accumulation of misclassification and avoids the condition of impartibility efficiently. At the same time, each node of decision tree uses binary least squares wavelet support vector machine to obtain higher generalization ability.

该模型利用非线性映射将样本投影到高维特征空间，比较每类样本在高维空间的分布情况，进行聚类构造出一个二叉决策树，使容易区分的类别从根节点逐层分类出来，有效克服了错分积累和避免不可分情况；同时，各个节点采用二值最小二乘小波支持向量机，以获得较高的泛化能力。

However, as the name（read－only memory）implies, CD disks cannot be written onorchanged in any way.

然而，正如其名字所指出的那样，CD盘不能写，也不能用任何方式改变其内容。

Galvanizes steel pallet is mainly export which suits standard packing of European Union, the North America. galvanizes steel pallet is suitable to heavy rack. Pallet surface can design plate type, corrugated and the gap form, satisfies the different requirements.

镀锌钢托盘多用于出口，替代木托盘，免薰蒸，符合欧盟、北美各国对出口货物包装材料的法令要求；喷涂钢托盘适用于重载上货架之用，托盘表面根据需要制作成平板状、波纹状及间隔形式，满足不同的使用要求。