5 results for “topic:robust-estimators”
The Graph-Cut RANSAC algorithm proposed in paper: Daniel Barath and Jiri Matas; Graph-Cut RANSAC, Conference on Computer Vision and Pattern Recognition, 2018. It is available at http://openaccess.thecvf.com/content_cvpr_2018/papers/Barath_Graph-Cut_RANSAC_CVPR_2018_paper.pdf
Automagically remove trends from time-series data
Robustats is a Python library for high-performance computation of robust statistical estimators.
R Package: Augmented Inverse Probability Weighted (AIPW) Estimation for Average Causal Effect
Implementation of example problem in "Robust estimator design for switched systems with unknown switching time: An LMI based approach"