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Outlier Respecting Points Approximation

机译:离群点近似

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摘要

In this paper, we consider a generalized problem formulation of computing a functional curve to approximate a point set in the plane with outliers. The goal is to seek a solution that not only optimizes its original objectives, but also somehow accommodates the impact of the outliers. Based on a new model of accommodating outliers, we present efficient geometric algorithms for various versions of this problem (e.g., the approximating functions are step functions or piecewise linear functions, the points are unweighted or weighted, etc). All our results are first known. Our new model and techniques for handling outliers may be useful to other applications as well.
机译:在本文中,我们考虑了计算功能曲线以逼近具有离群值的平面中的点集的广义问题公式。目标是寻求一种解决方案,该解决方案不仅可以优化其原始目标,而且可以以某种方式适应离群值的影响。基于容纳异常值的新模型,我们针对该问题的各种版本提出了有效的几何算法(例如,逼近函数是阶跃函数或分段线性函数,点未加权或加权等)。我们所有的结果都是众所周知的。我们用于处理异常值的新模型和技术也可能对其他应用程序有用。

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