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SIAMSC
2011
148views more  SIAMSC 2011»
15 years 1 months ago
Bootstrap AMG
We develop an algebraic multigrid (AMG) setup scheme based on the bootstrap framework for multiscale scientific computation. Our approach uses a weighted least squares definition...
Achi Brandt, James J. Brannick, K. Kahl, Irene Liv...
BMVC
1997
15 years 8 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
JMLR
2010
130views more  JMLR 2010»
15 years 1 months ago
A Regularization Approach to Nonlinear Variable Selection
In this paper we consider a regularization approach to variable selection when the regression function depends nonlinearly on a few input variables. The proposed method is based o...
Lorenzo Rosasco, Matteo Santoro, Sofia Mosci, Ales...
DELTA
2010
IEEE
15 years 11 months ago
Least-squares Optimal Interpolation for Fast Image Super-resolution
—Image super-resolution is generally regarded as consisting of three steps – image registration, fusion, and deblurring. This paper presents a novel technique for resampling a ...
Andrew Gilman, Donald G. Bailey, Stephen Marsland
ICML
2009
IEEE
16 years 7 months ago
Optimal reverse prediction: a unified perspective on supervised, unsupervised and semi-supervised learning
Training principles for unsupervised learning are often derived from motivations that appear to be independent of supervised learning. In this paper we present a simple unificatio...
Linli Xu, Martha White, Dale Schuurmans