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COMPGEOM
2004
ACM
13 years 10 months ago
On the least median square problem
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...
Jeff Erickson, Sariel Har-Peled, David M. Mount
IJCV
1998
109views more  IJCV 1998»
13 years 4 months ago
Robust Optic Flow Computation
This paper formulates the optic flow problem as a set of over-determined simultaneous linear equations. It then introduces and studies two new robust optic flow methods. The fir...
Alireza Bab-Hadiashar, David Suter
ECAI
2006
Springer
13 years 8 months ago
Least Squares SVM for Least Squares TD Learning
Abstract. We formulate the problem of least squares temporal difference learning (LSTD) in the framework of least squares SVM (LS-SVM). To cope with the large amount (and possible ...
Tobias Jung, Daniel Polani
CSDA
2007
127views more  CSDA 2007»
13 years 4 months ago
Computing the least quartile difference estimator in the plane
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...
Thorsten Bernholt, Robin Nunkesser, Karen Schettli...
BMVC
1997
13 years 5 months ago
Further Five Point Fit Ellipse Fitting
The least squares method is the most commonly used technique for fitting an ellipse through a set of points. However, it has a low breakdown point, which means that it performs p...
Paul L. Rosin