Robust statistics in shape fitting

Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Pub Date : 1992-06-15 DOI:10.1109/CVPR.1992.223138

Andrew Stein, M. Werman

引用次数: 27

Abstract

The concept of robustness in statistics is examined. Starting from the concepts of the breakdown point and equivariance properties of an estimator, the desired equivariance properties for shape fitting are defined, and high breakdown point methods with these properties are found.<>

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形状拟合中的鲁棒统计

检验了统计学中稳健性的概念。从估计量的击穿点和等方差性质的概念出发，定义了形状拟合所需的等方差性质，并找到了具有这些性质的高击穿点方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition

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