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CDC
2009
IEEE
180views Control Systems» more  CDC 2009»
13 years 10 months ago
Robustness analysis for Least Squares kernel based regression: an optimization approach
—In kernel based regression techniques (such as Support Vector Machines or Least Squares Support Vector Machines) it is hard to analyze the influence of perturbed inputs on the ...
Tillmann Falck, Johan A. K. Suykens, Bart De Moor
ICCV
2011
IEEE
12 years 7 months ago
Geometrically Consistent Elastic Matching of 3D Shapes: A Linear Programming Solution
We propose a novel method for computing a geometrically consistent and spatially dense matching between two 3D shapes. Rather than mapping points to points we match infinitesimal...
Thomas Windheuser, Ulrich Schlickewei, Frank R. Sc...
ML
2002
ACM
127views Machine Learning» more  ML 2002»
13 years 7 months ago
Sparse Regression Ensembles in Infinite and Finite Hypothesis Spaces
We examine methods for constructing regression ensembles based on a linear program (LP). The ensemble regression function consists of linear combinations of base hypotheses generat...
Gunnar Rätsch, Ayhan Demiriz, Kristin P. Benn...
MOC
2002
98views more  MOC 2002»
13 years 7 months ago
Avoiding the order reduction of Runge-Kutta methods for linear initial boundary value problems
Abstract. A new strategy to avoid the order reduction of Runge-Kutta methods when integrating linear, autonomous, nonhomogeneous initial boundary value problems is presented. The s...
Mari Paz Calvo, Cesar Palencia
CVPR
2008
IEEE
14 years 9 months ago
On errors-in-variables regression with arbitrary covariance and its application to optical flow estimation
Linear inverse problems in computer vision, including motion estimation, shape fitting and image reconstruction, give rise to parameter estimation problems with highly correlated ...
Björn Andres, Claudia Kondermann, Daniel Kond...