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CEC
2005
IEEE
15 years 8 months ago
Incorporating a Metropolis method in a distribution estimation using Markov random field algorithm
Abstract- Markov Random Field (MRF) modelling techniques have been recently proposed as a novel approach to probabilistic modelling for Estimation of Distribution Algorithms (EDAs)...
Siddhartha Shakya, John A. W. McCall, Deryck F. Br...
111
Voted
ISIPTA
2003
IEEE
145views Mathematics» more  ISIPTA 2003»
15 years 8 months ago
An Extended Set-valued Kalman Filter
Set-valued estimation offers a way to account for imprecise knowledge of the prior distribution of a Bayesian statistical inference problem. The set-valued Kalman filter, which p...
Darryl Morrell, Wynn C. Stirling
ICASSP
2009
IEEE
15 years 9 months ago
Time-space-sequential algorithms for distributed Bayesian state estimation in serial sensor networks
We consider distributed estimation of a time-dependent, random state vector based on a generally nonlinear/non-Gaussian state-space model. The current state is sensed by a serial ...
Ondrej Hlinka, Franz Hlawatsch
ICIP
2009
IEEE
16 years 3 months ago
Image Restoration By Mixture Modelling Of An Overcomplete Linear Representation
We present a new image restoration method based on modelling the coefficients of an overcomplete wavelet response to natural images with a mixture of two Gaussian distributions, h...
ACSD
1998
IEEE
105views Hardware» more  ACSD 1998»
15 years 7 months ago
Visual Formalisms Revisited
The development of an interactive application is a complex task that has to consider data, behavior, intercommunication, architecture and distribution aspects of the modeled syste...
Radu Grosu, Gheorghe Stefanescu, Manfred Broy