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» Parametrization of Linear Systems Using Diffusion Kernels
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89
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CDC
2010
IEEE
122views Control Systems» more  CDC 2010»
14 years 6 months ago
Closed-loop optimal experiment design: The partial correlation approach
Abstract-- We consider optimal experiment design for parametric prediction error system identification of linear timeinvariant systems in closed loop. The optimisation is performed...
Roland Hildebrand, Michel Gevers, Gabriel Solari
ICCV
2009
IEEE
16 years 4 months ago
Time Series Prediction by Chaotic Modeling of Nonlinear Dynamical Systems
We use concepts from chaos theory in order to model nonlinear dynamical systems that exhibit deterministic behavior. Observed time series from such a system can be embedded into...
Arslan Basharat, Mubarak Shah
119
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ICCSA
2003
Springer
15 years 4 months ago
Coarse-Grained Parallel Matrix-Free Solution of a Three-Dimensional Elliptic Prototype Problem
The finite difference discretization of the Poisson equation in three dimensions results in a large, sparse, and highly structured system of linear equations. This prototype prob...
Kevin P. Allen, Matthias K. Gobbert
160
Voted
CVPR
2009
IEEE
1372views Computer Vision» more  CVPR 2009»
16 years 6 months ago
Blind motion deblurring from a single image using sparse approximation
Restoring a clear image from a single motion-blurred image due to camera shake has long been a challenging problem in digital imaging. Existing blind deblurring techniques eithe...
Jian-Feng Cai (National University of Singapore), ...
NECO
2011
14 years 6 months ago
Least Squares Estimation Without Priors or Supervision
Selection of an optimal estimator typically relies on either supervised training samples (pairs of measurements and their associated true values), or a prior probability model for...
Martin Raphan, Eero P. Simoncelli