The received mixing signals are first mapped to high-dimensional kernel feature space, and a feature vector basis given by the fitness function of the kernel feature space is constructed.
所接收的混合信号首先被映射到高维的内核特征空间，和由内核特征空间上的适应度函数给出的特征矢量的基础构造。
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。
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。
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.
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。
The transformation of kernel function is used to solve the overlapped mixed gas feature absorption spectrum in high dimension space.
算法采用核函数变换的方式，将重叠严重和非线性的光谱数据进行高维空间变换后再计算各组分气体浓度。
The transformation of kernel function is used to solve the overlapped mixed gas feature absorption spectrum in high dimension space.
算法采用核函数变换的方式，将重叠严重和非线性的光谱数据进行高维空间变换后再计算各组分气体浓度。
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