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ICIP
2000
IEEE
14 years 6 months ago
Feature-Preserving Flows: A Stochastic Differential Equation's View
Evolution equations have proven to be useful in tracking fine to coarse features in a single level curve and/or in an image. In this paper, we give a stochastic insight to a speci...
Gozde B. Unal, Hamid Krim, Anthony J. Yezzi
TIP
2002
147views more  TIP 2002»
13 years 4 months ago
Stochastic differential equations and geometric flows
In recent years, curve evolution, applied to a single contour or to the level sets of an image via partial differential equations, has emerged as an important tool in image process...
Gozde B. Unal, Hamid Krim, Anthony J. Yezzi
BMCBI
2007
167views more  BMCBI 2007»
13 years 4 months ago
A stochastic differential equation model for transcriptional regulatory networks
Background: This work explores the quantitative characteristics of the local transcriptional regulatory network based on the availability of time dependent gene expression data se...
Adriana Climescu-Haulica, Michelle D. Quirk
CMA
2010
134views more  CMA 2010»
13 years 2 months ago
Particle tracking for fractional diffusion with two time scales
Abstract. Previous work [51] showed how to solve time-fractional diffusion equations by particle tracking. This paper extends the method to the case where the order of the fraction...
Mark M. Meerschaert, Yong Zhang, Boris Baeumer
QEST
2005
IEEE
13 years 10 months ago
Fluid Flow Approximation of PEPA models
In this paper we present a novel performance analysis technique for large-scale systems modelled in the stochastic process algebra PEPA. In contrast to the well-known approach of ...
Jane Hillston