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» On Multiple Linear Approximations
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ADCM
2006
74views more  ADCM 2006»
14 years 10 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 4 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»
14 years 10 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
PARA
2004
Springer
15 years 3 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 2 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