Paul Desmedt
Ghent University
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Publication
Featured researches published by Paul Desmedt.
Maximum Entropy and Bayesian Methods, Proceedings of the 13th International MaxEnt Workshop, Kluwer Academic Publisher, G.R. Heidbreder (ed.), Santa Barbara, USA | 1996
Paul Desmedt; Ignace Lemahieu; K Thielemans
A package, BayesCalc, is presented that extends the standard possibilities of Mathematica. The implemented extensions allow the automatic, symbolic calculation of many operations needed in the daily application of Bayesian theory. The main feature of the package is the symbolic calculation of posterior probabilities.
Maximum Entropy and Bayesian Methods, Proceedings of the MaxEnt94 Conference, Kluwer Academic Publishers, J. Skilling, S. Sibisi (ed.), Cambridge, pp. 12 7-134 | 1996
Paul Desmedt; Ignace Lemahieu; K Thielemans
The application of Bayesian probability theory requires only a few rules: the sum rule, the product rule and the marginalization procedure. However, in practice Bayesian computations can become tedious. The package BayesCalc implements the rules governing Bayesian probability theory in a Mathematica framework. Consequently BayesCalc can help introduce Bayesian theory to newcomers and facilitate computations for regular Bayesians.
MAXIMUM ENTROPY AND BAYESIAN METHODS - PROCEEDINGS OF THE THIRTEENTH INTERNATIONAL WORKSHOP ON MAXIMUM ENTROPY AND BAYESIAN METHODS, SANTA BARBARA, CALIFORNIA, U.S.A., 1993 | 1996
Koenraad Bastiaens; Paul Desmedt; Ignace Lemahieu
The application of a maximum entropy reconstruction method to PET images requires a long computation time. To overcome this problem multiprocessor machines could be used. In this paper we present a parallelization method for the Green expectation maximization method.
MAXIMUM ENTROPY AND BAYESIAN METHODS - PROCEEDINGS OF THE THIRTEENTH INTERNATIONAL WORKSHOP ON MAXIMUM ENTROPY AND BAYESIAN METHODS, SANTA BARBARA, CALIFORNIA, U.S.A., 1993 | 1996
Paul Desmedt; Ignace Lemahieu; Koenraad Bastiaens
In Positron Emission Tomography (PET) images have to be reconstructed from noisy projection data. The noise on the PET data can be modeled by a Poisson distribution.
euromicro workshop on parallel and distributed processing | 1994
Koen Bastiaens; Ignace Lemahieu; Paul Desmedt; W. Vandermeersch
A bs t reict Multi-threaded operating systems were introduced in the quest to reduce the overhead caused by task manipulation and synchronization. An example is the recently introduced Solaris 2.1 multi-threaded operating system. In this paper, a parallel application in the domain of image processing is presented for which a successful use of the multi-threaded approach has led to an implementation with a nearly linear speedup.
Medical Progress Through Technology | 1991
Paul Desmedt; K Thielemans; Ignace Lemahieu; Franklin Vermeulen; Dirk Vogelaers; Francis Colardyn
Proceedings of the IFIP WG10.3 Working Conference on Applications in Parallel and Distributed Computing | 1994
Koenraad Bastiaens; Ignace Lemahieu; Paul Desmedt
MAXIMUM ENTROPY AND BAYESIAN METHODS - PROCEEDINGS OF THE THIRTEENTH INTERNATIONAL WORKSHOP ON MAXIMUM ENTROPY AND BAYESIAN METHODS, SANTA BARBARA, CALIFORNIA, U.S.A., 1993 | 1996
Paul Desmedt; Ignace Lemahieu; K Thielemans
MAXIMUM ENTROPY AND BAYESIAN METHODS - PROCEEDINGS OF THE FOURTEENTH INTERNATIONAL WORKSHOP ON MAXIMUM ENTROPY AND BAYESIAN METHODS, CAMBRIDGE, ENGLAND, 1994 | 1996
Paul Desmedt; Ignace Lemahieu; K Thielemans
Proc. of the ProRISC IEEE Benelux Conference, pp. 89-94, Arnhem, 1994 | 1994
Paul Desmedt; Ignace Lemahieu
