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» On Multiple Linear Approximations
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ADCM
2006
74views more  ADCM 2006»
15 years 3 months ago
Linearly constrained reconstruction of functions by kernels with applications to machine learning
This paper investigates the approximation of multivariate functions from data via linear combinations of translates of a positive definite kernel from a reproducing kernel Hilbert...
Robert Schaback, J. Werner
MIA
2010
170views more  MIA 2010»
14 years 10 months ago
Linear intensity-based image registration by Markov random fields and discrete optimization
We propose a framework for intensity-based registration of images by linear transformations, based on a discrete Markov Random Field (MRF) formulation. Here, the challenge arises ...
Darko Zikic, Ben Glocker, Oliver Kutter, Martin Gr...
ANOR
2006
59views more  ANOR 2006»
15 years 3 months ago
The empirical behavior of sampling methods for stochastic programming
Abstract. We investigate the quality of solutions obtained from sample-average approximations to two-stage stochastic linear programs with recourse. We use a recently developed sof...
Jeff Linderoth, Alexander Shapiro, Stephen Wright
148
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PARA
2004
Springer
15 years 9 months ago
A Model-Order Reduction Technique for Low Rank Rational Perturbations of Linear Eigenproblems
Large and sparse rational eigenproblems where the rational term is of low rank k arise in vibrations of fluid–solid structures and of plates with elastically attached loads. Exp...
Frank Blömeling, Heinrich Voss
EDBT
2000
ACM
15 years 8 months ago
Spatial Distributions Server Based on Linear Quadtree
The paper presents Spatial Distributions Server – an analytical tool aimed at efficient creation, storing and analyzing of spatial distributions. Methods of approximation of spat...
Piotr Bajerski