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ICIP
2008
IEEE
14 years 11 months ago
Variational Bayesian image processing on stochastic factor graphs
In this paper, we present a patch-based variational Bayesian framework of image processing using the language of factor graphs (FGs). The variable and factor nodes of FGs represen...
Xin Li
TPDS
2008
96views more  TPDS 2008»
13 years 9 months ago
Stochastic Graph Processes for Performance Evaluation of Content Delivery Applications in Overlay Networks
This paper proposes a new methodology to model the distribution of finite size content to a group of users connected through an overlay network. Our methodology describes the distr...
Damiano Carra, Renato Lo Cigno, Ernst W. Biersack
ANOR
2007
165views more  ANOR 2007»
13 years 9 months ago
Financial scenario generation for stochastic multi-stage decision processes as facility location problems
The quality of multi-stage stochastic optimization models as they appear in asset liability management, energy planning, transportation, supply chain management, and other applicat...
Ronald Hochreiter, Georg Ch. Pflug
CODES
2001
IEEE
14 years 1 months ago
The usage of stochastic processes in embedded system specifications
We review the use of nondeterminism and identify two different purposes. The descriptive purpose handles uncertainties in the behaviour of existing entities. The constraining purp...
Axel Jantsch, Ingo Sander, Wenbiao Wu
ICIP
2009
IEEE
13 years 7 months ago
Virtual resolution enhancement of scale invariant textured images using stochastic processes
We present a new method of magnification for textured images featuring scale invariance properties. The procedure preserves the visual aspect as well as the statistical properties...
Emilie Koenig, Pierre Chainais