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[Program doc] MCVEM_version1-0.tar DL : 0: This the MATLAB code that was used to produce the figures and tables in Section V of F. Forbes and G. Fort, Combining Monte Carlo and mean-field like methods for inference in Hidden Markov Random Fields, Accepted for publication in IEEE Trans. on Image Processing, 2006. 1 MATLAB has the capability of running functions written in C. The files which hold the source for these functions are called MEX-Files. Some functions of our codes are written in C. The purpose of this software is to implement the MCVEM algorithm, described in the paper mentioned above, when applied to Image Segmentation. MCVEM consists in combining approximation techniques - based on variational EM - and simulation techniques - based on MCMC -. This software is the first version that is made publicly available. 2 How to 2.1 Obtain the source code Download it from http://www.tsi.enst.fr/gfort/INRIA/MCVEM.html After unpacking the archive, you should obtain • two-This is the MATLAB code that was used to produce the figures and tables in Section V of F. Forbes and G. Fort, Combining Monte Carlo and mean-field like methods for inference in Hidden Markov Random Fields, Accepted for publication in IEEE Trans. on Image Processing, 2006. 1 MATLAB has the capability of running functions written in C. The files which hold the source for these functions are called MEX-Files. Some functions of our codes are written in C. The purpose of this software is to implement the MCVEM algorithm, described in the paper mentioned above, when applied to Image Segmentation. MCVEM consists in combining approximation techniques - based on variational EM - and simulation techniques - based on MCMC -. This software is the first version that is made publicly available. 2 How to 2.1 Obtain the source code Download it from http://www.tsi.enst.fr/gfort/INRIA/MCVEM.html After unpacking the archive, you should obtain • two
Date : 2026-01-03 Size : 676kb User : jeevithajaikumar