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» Using Learning for Approximation in Stochastic Processes
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SIAMCO
2008
113views more  SIAMCO 2008»
15 years 2 months ago
Singularly Perturbed Piecewise Deterministic Games
Abstract. In this paper we consider a class of hybrid stochastic games with the piecewise openloop information structure. These games are indexed over a parameter which represents...
Alain Haurie, Francesco Moresino
AAAI
1997
15 years 3 months ago
Combining Approximate Front End Signal Processing with Selective Reprocessing in Auditory Perception
When dealing with signals from complex environments, where multiple time-dependent signal signatures can interfere with each other in stochastically unpredictable ways, traditiona...
Frank Klassner, Victor R. Lesser, Hamid Nawab
ICIP
1995
IEEE
15 years 6 months ago
Fast image search using a multiscale stochastic model
Searching an image for the occurrence of a pattern or a template is an essential step in a number of image processing applications. We propose a new multiresolution matching crite...
S. Sista, Charles A. Bouman, Jan P. Allebach
AMC
2008
94views more  AMC 2008»
15 years 2 months ago
Modeling and inversion of net ecological exchange data using an Ito stochastic differential equation approach
A system of stochastic differential equations is studied describing a compartmental carbon transfer model that includes uncertainties arising in the model from environmental and p...
Luther White, Yiqi Luo
CDC
2009
IEEE
173views Control Systems» more  CDC 2009»
15 years 7 months ago
A contractivity approach for probabilistic bisimulations of diffusion processes
— This work is concerned with the problem of characterizing and computing probabilistic bisimulations of diffusion processes. A probabilistic bisimulation relation between two su...
Alessandro Abate