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NA
2011
301views Computer Vision» more  NA 2011»
8 years 2 months ago
Automatic grid control in adaptive BVP solvers
Grid adaptation in two-point boundary value problems is usually based on mapping a uniform auxiliary grid to the desired nonuniform grid. Here we combine this approach with a new ...
Gernot Pulverer, Gustaf Söderlind, Ewa Weinm&...
SIGMETRICS
2008
ACM
8 years 7 months ago
Fluid level in a reservoir with an on-off source
We obtain the Laplace transform of the fluid level probability density function, in terms of the on-period density function, for a fluid queue (or reservoir) with on-off input at ...
Varun Gupta, Peter G. Harrison
ENGL
2007
109views more  ENGL 2007»
8 years 7 months ago
A Proposed Method for Reliability Analysis in Higher Dimension
— In this paper, a new method is proposed to evaluate the reliability of stochastic mechanical systems. This technique is based on the combination of the probabilistic transforma...
S. Kadry
BMCBI
2010
175views more  BMCBI 2010»
8 years 7 months ago
Global parameter estimation methods for stochastic biochemical systems
Background: The importance of stochasticity in cellular processes having low number of molecules has resulted in the development of stochastic models such as chemical master equat...
Suresh Kumar Poovathingal, Rudiyanto Gunawan
AMC
2010
115views more  AMC 2010»
8 years 7 months ago
The probability density function to the random linear transport equation
: We present a formula to calculate the probability density function of the solution of the random linear transport equation in terms of the density functions of the velocity and t...
L. T. Santos, Fábio Antonio Dorini, Maria C...
ADCM
2007
104views more  ADCM 2007»
8 years 7 months ago
Shape preserving histogram approximation
We present a new method for reconstructing the density function underlying a given histogram. First we analyze the univariate case taking the approximating function in a class of q...
Paolo Costantini, Francesca Pelosi
UAI
2000
8 years 8 months ago
Utilities as Random Variables: Density Estimation and Structure Discovery
Decision theory does not traditionally include uncertainty over utility functions. We argue that the a person's utility value for a given outcome can be treated as we treat o...
Urszula Chajewska, Daphne Koller
ICANN
2009
Springer
8 years 11 months ago
Bayesian Estimation of Kernel Bandwidth for Nonparametric Modelling
Kernel density estimation (KDE) has been used in many computational intelligence and computer vision applications. In this paper we propose a Bayesian estimation method for findin...
Adrian G. Bors, Nikolaos Nasios
SMI
2003
IEEE
111views Image Analysis» more  SMI 2003»
9 years 12 days ago
Isotropic Surface Remeshing
This paper proposes a new method for isotropic remeshing of triangulated surface meshes. Given a triangulated surface mesh to be resampled and a user-specified density function d...
Pierre Alliez, Éric Colin de Verdièr...
ICCV
2005
IEEE
9 years 23 days ago
Fast Global Kernel Density Mode Seeking with Application to Localisation and Tracking
We address the problem of seeking the global mode of a density function using the mean shift algorithm. Mean shift, like other gradient ascent optimisation methods, is susceptible...
Chunhua Shen, Michael J. Brooks, Anton van den Hen...
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