Conclusion it is necessary to carry out robust estimation to generalized additive models when there are outliers in data.
结论在离群点存在时对广义可加模型进行稳健估计是必要的。
Methods We introduce the classical robust estimation to generalized additive models.
方法将经典的稳健m估计方法引入广义可加模型。
A motion based segmentation scheme for image motion estimation is proposed using variable order parameterized models of image motion and robust regression.
借助于图像运动的变阶参数模型和鲁棒回归分析，提出一种基于运动分割的图像运动估计方法。
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