13 search results - page 1 / 3 » Robust Regression by Boosting the Median |
COLT
2003
Springer
14 years 18 days ago
2003
Springer
CSDA
2006
13 years 7 months ago
2006
Standard median filters preserve abrupt shifts (edges) and remove impulsive noise (outliers) from a constant signal but they deteriorate in trend periods. Finite impulse response ...
CSSC
2008
13 years 7 months ago
2008
This paper examines a weighted version of the quantile regression estimator defined by Koenker and Bassett (1978), adjusted to the case of nonlinear longitudinal data. Different w...
COMPGEOM
2004
ACM
14 years 24 days ago
2004
ACM
We consider the exact and approximate computational complexity of the multivariate LMS linear regression estimator. The LMS estimator is among the most widely used robust linear s...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
Algorithms such as Least Median of Squares (LMedS) and Random Sample Consensus (RANSAC) have been very successful for low-dimensional robust regression problems. However, the comb...