通过研究核映射机理，提出了用于聚类分析的高斯核聚类算法。
An algorithm of Gaussian kernel clustering is proposed by analyzing kernel mapping theory.
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 research, sample data were mapped to sparse feature space to prevent the loss of SVM's sparsity when the kernels were fused.
故本文运用多项式核函数将人脸分布的低维空间映射到高维空间，并在此空间判别“待识别人脸”是否属十某个人脸覆盖集合。
Polynomial kernel function is applied to map face distribution of low dimension space to that of high dimension space, and decide which set that face to be recognized belongs to.
对于线性不可分的样本空间，需要寻找核函数，将线性不可分的样本集映射到另一个高维线性空间。
As for the undivided linear sample space, the kernel function is needed to map onto another high dimension linear space.
而SVM(支持向量机)引进核函数隐含的映射把低维特征空间中的样本数据映射到高维特征空间来实现分类。
The SVM (Support vector Machine) classifies the data by mapping the vector from low-dimensional space to high-dimensional space using kernel function.
该方法通过计算齿轮振动信号原始特征空间的内积核函数来实现原始特征空间到高维特征空间的非线性映射。
In this approach, the integral operator kernel functions is used to realize the nonlinear map from the raw feature space of gear vibration signals to high dimensional feature space.
运用核函数将原始数据映射到核空间中得到核矩阵，再利用L1范数使距离函数达到最小。
It maps original data to kernel space to get a kernel matrix, and utilizes kernel function and L1 norm to minimize the distance function.
论文第四章重点介绍用非线性映射方法分析原核生物基因密码子使用情况并得到的相关结论。
In chapter IV, the codon usage preferences in prokaryotic organism are analyzed by nonlinear mapping method.
核函数方法关心的是怎样把输入数据映射到一个高维度的矢量空间，在这个空间中，某些分类或者回归问题可以较容易地解决。
Kernel Methods are concerned with mapping input data into a higher dimensional vector space where some classification or regression problems are easier to model.
核函数方法关心的是如何把输入数据映射到一个高维度的矢量空间，在这个空间中，某些分类或者回归问题可以较容易地解决。
Kernel Methods are concerned with mapping input data into a higher dimensional vector space where some classification or regression problems are easier to model.
该算法以节点间的传输时间向量为输入，借助能够体现网络拓扑结构局部信息的核局部保持映射进行建模。
The algorithm took transmission time vector between nodes as input, and a model was established by KLPP, which can reflect partial information network topology structure.
该算法以节点间的传输时间向量为输入，借助能够体现网络拓扑结构局部信息的核局部保持映射进行建模。
The algorithm took transmission time vector between nodes as input, and a model was established by KLPP, which can reflect partial information network topology structure.
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