一种核函数的设计改进算法，有兴趣的人可以看看。
Design of a kernel function to improve the algorithm, those who are interested can look at.
基于离散时频分布的信号识别方法，将时频核设计问题转化为以信号自模糊函数为原始特征的特征选择问题，以实现特征降维和信号识别。
Actually the kernel design in the recognition method based on discrete time - frequency representation is a problem of feature selection from the ambiguity functions to reduce feature dimension.
说明：为支持向量机设计了一种新的直方图核函数运用在图像分类上取得不错的效果。
The paper designed a new histogram kernel function for support vector machines which achieved good results in image classification .
核口袋算法的特点是用简单的迭代过程和核函数来实现非线性分类器的设计。
Its advantage is to implement a nonlinear classifier using a simply iterative procedure and kernel functions.
基于核方法的支持向量机(SVM)以其良好的推广性在图像分类等领域已经得到广泛应用，运用支持向量机的关键是设计有效的核函数。
Kernel-based Support Vector Machine (SVM) is widely used in many fields (e. g. image classification) for its good generalization, in which the key factor is to design effective kernel functions.
在设计时，采用两级SVM分类器级联的方式，核函数采用径向基函数，并且用网格搜索法来选取合适的参数。
Two-level-classifier is designed to recognized urinary sediments. The kernel function uses the radial basis function and grid-search method is used to select the parameters of SVM.
在设计时，采用两级SVM分类器级联的方式，核函数采用径向基函数，并且用网格搜索法来选取合适的参数。
Two-level-classifier is designed to recognized urinary sediments. The kernel function uses the radial basis function and grid-search method is used to select the parameters of SVM.
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