k – The maximum number of iterations allowed in the algorithm. d – The number of close data points (inliers) required to assert that the model fits well to the data. Return: bestFit – The model parameters which may best fit the data (or null if no good model is found). iterations...
Least Median of Squares Regression-英文文献 Least Median of Squares Regression Peter J. Rousseeuw Journal of the American Statistical Association , Vol. 79, No. 388. (Dec., 1984), pp. 871-880. Stable URL: /sici?sici=0162-14592979%3A388%3C871%3ALMOSR%3E2.0.CO%3B2-K Journal of the Ame...
An approximation algorithm for least median of squares regression. Information Processing Letters , 63(5):237–241, September 1997.C. F. Olson, "An approximation algorithm for least median of squares regression," Infor- mation Processing Letters 63, pp. 237-241, ...
A two-dimensional adaptive algorithm which resists impulsive interference is presented. The proposed two-dimensional median least mean squares (TDMLMS) algorithm is a gradient-based steepest descent algorithm and employs the sample median of the instantaneous gradients within a suitable window as a ...
6) estimation of least median squares 最小中值平方估计 1. Then the robust Mahalanobis distances of training samples with normal texture were calculated by using the fast algorithm for the estimation of least median squares. 利用最小中值平方估计的快速算法,获得正常织物纹理训练样本的稳健马氏距离,并...
2) Least-Median-Squares estimation 最小中值估计 1. In the process of matching,the algorithm uses Least-Median-Squares estimation to eliminate false matching pairs. 本文通过改变特征点描述子的结构实现了特征向量的简化,并且提出基于视差梯度约束的特征点匹配算法,在匹配过程中使用最小中值估计算法去除伪...
An efficient algorithm for updating the gradient adaptive lattice (GAL) filter, termed the median least mean squares lattice (MLMSL) adaptive filter, is presented. The update in the proposed algorithm is achieved by employing the sample median of the gradient estimates at each stage of the ...
the average errors in the estimation of the slope were found to be 18.9 % by least-squares, 17.7% by the least absolute deviation method, 0.5% by the least median of squares algorithm, 9.1% by an adaptive Kalman filter algorithm, and 0.9% by a zero-lag adaptive Kalman filter algorithm....
The algorithm generally prod... DM Hawkins,DJ Olive - 《Publications of the American Statistical Association》 被引量: 160发表: 2002年 Sign-constrained robust least squares, subjective breakdown point and the effect of weights of observations on robustness The findings of this paper are summarized ...
6) estimation of least median squares 最小中值平方估计 1. Then the robust Mahalanobis distances of training samples with normal texture were calculated by using the fast algorithm for the estimation of least median squares. 利用最小中值平方估计的快速算法,获得正常织物纹理训练样本的稳健马氏距离,并...