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» Domain equations for probabilistic processes
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ICIP
2007
IEEE
14 years 9 months ago
Edge Preserving Filters using Geodesic Distances on Weighted Orthogonal Domains
We introduce a framework for image enhancement, which smooths images while preserving edge information. Domain (spatial) and range (feature) information are combined in one single...
Luca Bertelli, B. S. Manjunath
DAGSTUHL
2004
13 years 9 months ago
Lower Bounds and Non-Uniform Time Discretization for Approximation of Stochastic Heat Equations
We study algorithms for approximation of the mild solution of stochastic heat equations on the spatial domain ]0, 1[ d . The error of an algorithm is defined in L2-sense. We derive...
Klaus Ritter, Thomas Müller-Gronbach
SIAMNUM
2010
140views more  SIAMNUM 2010»
13 years 2 months ago
Finite Element Approximation of the Linear Stochastic Wave Equation with Additive Noise
Semidiscrete finite element approximation of the linear stochastic wave equation with additive noise is studied in a semigroup framework. Optimal error estimates for the determinis...
Mihály Kovács, Stig Larsson, Fardin ...
ENTCS
2006
155views more  ENTCS 2006»
13 years 7 months ago
Mathematical Service Trading Based on Equational Matching
Mathematical software libraries provide many computational services. Mathematical operators properties can be used to combine several services in order to provide more complex one...
Aurélie Hurault, Marc Pantel
JAIR
2008
107views more  JAIR 2008»
13 years 7 months ago
Planning with Durative Actions in Stochastic Domains
Probabilistic planning problems are typically modeled as a Markov Decision Process (MDP). MDPs, while an otherwise expressive model, allow only for sequential, non-durative action...
Mausam, Daniel S. Weld