regular adjustive model 定期调控模型
In order for an SVM to be more robust to noise, a new SVM model i. e., the support vector machine based on adjustive boundary SVMAB is proposed.
提出了一个新的支持向量机模型——基于边界调节的支持向量机，并利用拉格朗日定理得到了这种支持向量机的对偶目标函数。
The parameters describing the stereoscopic model are divided into two types: the main parameters and the adjustive parameters, and these two parameters are calibrated respectively.
把立体视觉模型参数划分为主值参数和调节参数，两类参数分别进行标定。
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