31 search results - page 5 / 7 » Robustness of reweighted Least Squares Kernel Based Regressi... |
ICASSP
2010
IEEE
14 years 9 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...
AMCS
2008
14 years 9 months ago
2008
Principal component analysis (PCA) is a powerful fault detection and isolation method. However, the classical PCA which is based on the estimation of the sample mean and covariance...
SAC
2008
ACM
14 years 9 months ago
2008
ACM
For short-term forecasting of wind generation, a necessary step is to model the function for the conversion of meteorological variables (mainly wind speed) to power production. Su...
94
Voted
ICPR
2000
IEEE
15 years 10 months ago
2000
IEEE
An improved maximum likelihood estimator for ellipse fitting based on the heteroscedastic errors-in-variables (HEIV) regression algorithm is proposed. The technique significantly ...
MVA
1998
14 years 9 months ago
1998
A model-based approach to reconstruction of 3D human arm motion from a monocular image sequence taken under orthographic projection is presented. The reconstruction is divided into...