13 search results - page 2 / 3 » Robust Regression by Boosting the Median |
SODA
1997
ACM
13 years 8 months ago
1997
ACM
The problem of fitting a straight line to a finite collection of points in the plane is an important problem in statistical estimation. Robust estimators are widely used because...
CVPR
2010
IEEE
14 years 21 days ago
2010
IEEE
Finding fiducial facial points in any frame of a video showing rich naturalistic facial behaviour is an unsolved problem. Yet this is a crucial step for geometric-featurebased fa...
ICANN
2003
Springer
14 years 17 days ago
2003
Springer
Combining machine learning models is a means of improving overall accuracy.Various algorithms have been proposed to create aggregate models from other models, and two popular examp...
CSDA
2007
13 years 7 months ago
2007
A common problem in linear regression is that largely aberrant values can strongly influence the results. The least quartile difference (LQD) regression estimator is highly robus...
DATAMINE
2006
13 years 7 months ago
2006
Least trimmed squares (LTS) regression is based on the subset of h cases (out of n) whose least squares t possesses the smallest sum of squared residuals. The coverage h may be se...