基于正则化变分的框架，提出了SAR图像目标超分辨的变范数算法。
Based on the framework of regularization variation, we proposed a superresolution algorithm of SAR image targets using variable norms.
在一类不确定推理模型中，可以用这类弱t -范数的性质来解释其平行传播算法所具有的直观特征。
The properties of the weak Tnorm can be used to interpret intuition features of parallel propagation algorithm in the kind of uncertainty reasoning models.
支持向量机中的L2范数软边缘算法可以将线性不可分问题转化为线性可分问题。
The L2 norm soft margin algorithms in SVMs can change each linearly inseparable problem into a separable one.
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