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MP
2006
103views more  MP 2006»
15 years 23 days ago
Assessing solution quality in stochastic programs
Determining if a solution is optimal or near optimal is fundamental in optimization theory, algorithms, and computation. For instance, Karush-Kuhn-Tucker conditions provide necessa...
Güzin Bayraksan, David P. Morton
139
Voted
SMA
2008
ACM
162views Solid Modeling» more  SMA 2008»
15 years 22 days ago
Fast and robust bootstrap
The Least Trimmed Squares (LTS) estimator is a frequently used robust estimator of regression. When it comes to inference for the parameters of the regression model, the asymptoti...
Matias Salibian-Barrera, Stefan Van Aelst, Gert Wi...
98
Voted
TIP
2008
154views more  TIP 2008»
15 years 22 days ago
Adaptive Local Linear Regression With Application to Printer Color Management
Abstract--Local learning methods, such as local linear regression and nearest neighbor classifiers, base estimates on nearby training samples, neighbors. Usually, the number of nei...
Maya R. Gupta, Eric K. Garcia, E. Chin
99
Voted
CAGD
2005
112views more  CAGD 2005»
15 years 22 days ago
Estimating differential quantities using polynomial fitting of osculating jets
This paper addresses the point-wise estimation of differential properties of a smooth manifold S--a curve in the plane or a surface in 3D--assuming a point cloud sampled over S is...
Frédéric Cazals, Marc Pouget
102
Voted
EWC
2010
112views more  EWC 2010»
14 years 11 months ago
Meshing volumes with curved boundaries
Abstract This paper introduces a three-dimensional mesh generation algorithm for domains whose boundaries are curved surfaces, possibly with sharp features. The algorithm combines ...
Steve Oudot, Laurent Rineau, Mariette Yvinec