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WSC
2001
13 years 6 months ago
Resampling methods for input modeling
Stochastic simulation models are used to predict the behavior of real systems whose components have random variation. The simulation model generates artificial random quantities b...
Russell R. Barton, Lee Schruben
TNN
2008
93views more  TNN 2008»
13 years 4 months ago
Towards the Optimal Design of Numerical Experiments
This paper addresses the problem of the optimal design of numerical experiments for the construction of nonlinear surrogate models. We describe a new method, called learner disagre...
S. Gazut, J.-M. Martinez, Gérard Dreyfus, Y...
ICIP
2009
IEEE
14 years 5 months ago
Edge-preserving Nonlinear Iterative Image Resampling Method
In this paper, an edge-preserving nonlinear iterative regularization-based image resampling method for a single noise-free image is proposed. Several aspects of the resampling alg...
WSC
1998
13 years 6 months ago
A Parametric Version of Jackknife-after-Bootstrap
In this paper, we investigate the problem of deriving precision estimates for bootstrap quantities within parametric families. Efron's [1992] jackknife-after-bootstrap is a s...
Jin Wang
DELTA
2010
IEEE
13 years 9 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