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IJIT
2004
13 years 9 months ago
Multiresolution Approach to Subpixel Registration by Linear Approximation of PSF
Linear approximation of point spread function (PSF) is a new method for determining subpixel translations between images. The problem with the actual algorithm is the inability of ...
Erol Seke, Kemal Özkan
AAMAS
2007
Springer
13 years 7 months ago
Parallel Reinforcement Learning with Linear Function Approximation
In this paper, we investigate the use of parallelization in reinforcement learning (RL), with the goal of learning optimal policies for single-agent RL problems more quickly by us...
Matthew Grounds, Daniel Kudenko
VLBV
2005
Springer
14 years 1 months ago
Efficient Digital Pre-filtering for Least-Squares Linear Approximation
In this paper we propose a very simple FIR pre-filter based method for near optimal least-squares linear approximation of discrete time signals. A digital pre-processing filter,...
Marco Dalai, Riccardo Leonardi, Pierangelo Miglior...
MOC
2000
68views more  MOC 2000»
13 years 7 months ago
Numerical approximations of one-dimensional linear conservation equations with discontinuous coefficients
Conservative linear equations arise in many areas of application, including continuum mechanics or high-frequency geometrical optics approximations. This kind of equation admits mo...
Laurent Gosse, François James
SODA
2010
ACM
261views Algorithms» more  SODA 2010»
14 years 5 months ago
Bidimensionality and Kernels
Bidimensionality theory appears to be a powerful framework in the development of meta-algorithmic techniques. It was introduced by Demaine et al. [J. ACM 2005 ] as a tool to obtai...
Fedor V. Fomin, Daniel Lokshtanov, Saket Saurabh, ...