activity
20002004
most citedA Hidden Markov model for Bayesian data fusion of multivariate signals

6 citations · 14 across the 5 of their papers we have counts for

collaborators
Showing physics.data-anShow all

14 papers · 1 filter

physics.data-an20042 cited

Information and Covariance Matrices for Multivariate Burr III and Logistic distributions

Gholamhossein Yari, Ali Mohammad-Djafari

Main result of this paper is to derive the exact analytical expressions of information and covariance matrices for multivariate Burr III and logistic distributions. These distribut…

physics.data-an20042 cited

A hidden Markov Model for image fusion and their joint segmentation in medical image computing

Olivier Feron, Ali Mohammad-Djafari

In this work we propose a Bayesian framework for fully automated image fusion and their joint segmentation. More specifically, we consider the case where we have observed images of…

physics.data-an20046 cited

A Hidden Markov model for Bayesian data fusion of multivariate signals

Olivier Feron, Ali Mohammad-Djafari

In this work we propose a Bayesian framework for data fusion of multivariate signals which arises in imaging systems. More specifically, we consider the case where we have observed…

physics.data-an20044 cited

A Bayesian approach to change point analysis of discrete time series

Ali Mohammad-Djafari, Olivier Feron

In this work we consider time series with a finite number of discrete point changes. We assume that the data in each segment follows a different probability density functions (pdf)…

physics.data-an2002

MCMC joint separation and segmentation of hidden Markov fields

Hichem Snoussi, Ali Mohammad-Djafari

In this contribution, we consider the problem of the blind separation of noisy instantaneously mixed images. The images are modelized by hidden Markov fields with unknown parameter…

physics.data-an2001

A Matlab Program to Calculate the Maximum Entropy Distributions

A. Mohammad-Djafari

The classical Maximum Entropy (ME) problem consists of determining a probability distribution function (pdf) from a finite set of expectations of known functions. The solution depe…