Software Listing: Mexfiles

A fast implementation of particle filter dedicaced to multitarget tracking with bearing only measurements. For the multitarget data association problem, a gibbsampler is used to estimate target association probabilities. Ref : "Sequential Monte-Carlo methods for multple target tracking and data fusion" , Carine. Hue, Jean-Pierre Le Cadre and Patrick Perez, IEEE Transactions on Signal Processing , Vol 50, no 2, 2002 Please mexme_mtbot to compile mex-files on your own plateform. Run demo_mtbot.m for the demo.

  • Platform: Matlab, Scripts

Multi-Knapsack solver by two stochastic solvers : i) by Cross-Entropy Method and ii) by Botev-Kroese Method for the following problem max S(X)=(p^{t}X) st. WX <= c Please run the demo files : test_ce_knapsack.m test_cemcmc_knapsack.m NB. You may need to recompile mex-files. Please open run "mexme_mks" to compile on your own platform..

  • Platform: Matlab, Scripts

A fast Gentle Adaboost classifier with two different weak-learners: i) decision stump and ii) perceptron. Multiclass is performed with the one-against-all strategy. Usage ------ model = gentleboost_model(X , y , [T] , [options]); Inputs ------- X Features matrix (d x N) y Labels (1 x N). If y represent binary labels vector then y_i={-1,1}, i=1,...,N T Number of weak learners (default T = 100) options weaklearner Choice of weaklearner 0 : Decision Stump, 1 : Perceptron (default weaklearner = 0) epsi Epsilon constant in the sigmoid function used in the perceptron (default epsi = 1) lambda Regularization parameter for the perceptron's weights update (default lambda = 1e-3) max_ite Maximum number of iterations of the perceptron algorithm (default max_ite = 100) Outputs ------- model Structure of model output...

  • Platform: Matlab, Scripts

Fit a multivariate gaussian mixture by a cross-entropy method. Cross-Entropy is a powerfull tool to achieve stochastic multi-extremum optimization. Please visit for more informations i) Please compile mex-files by the mexme_ce_gauss.m (if compiler is not setup, run mex -setup before. ii) Run the program demo test_ce_mvgm.m.

  • Platform: Matlab, Scripts

Simple replacement of IMWRITE for TIFF files with alpha channel and XPOSITION, YPOSITION tags Demonstrates how to write MEX-files in Haskell programming language Demonstrates how to interface Haskell MEX-file to third party foreign library.

  • Publisher: Yakov
  • Date: 12-06-2013
  • Size: 51 KB
  • Platform: Matlab, Scripts

Updated an earlier submission to the new versions of Visual Studio and Matlab. C-programming is more suited in a IDE like Visual Studio, thus this submission. The mex-files are called 'mexw32' instead of 'dll', since Matlab will not support 'dll'-naming in the future..

  • Platform: Matlab, Scripts
  • dijsktra
  • License: Freeware
  • Price: 0.00
  • Rating

Return the optimal path given the adjacency/cost sparse matrix and source/destination nodes. Run mexme_dijkstra.m to compile mex-files on your own-plateform Run test_dijkstra.m for the demo.

  • Platform: Matlab, Scripts

This MacOS X Project Builder template can be used to easily create a MATLAB MEX-file project. Source level debugging of the MEX-files is the primary benefit of using this template..

  • Publisher: Tom Davis
  • Date: 24-02-2013
  • Size: 20 KB
  • Platform: Matlab, Scripts

This project will create a custom App Wizard for creating MEX-files in Visual Studio.Net. After installing, use the wizard to create a skeleton MEX-file project, with the correct project settings. Simply fill in your function code and compile to create your DLL..

  • Platform: Matlab, Scripts
  • mexgen
  • License: Freeware
  • Price: 0.00
  • Rating

This utility allows you to create scripts that may in turn be used to generate C++ files and M-files. The C++ files may then be compiled into mex-files. The M-files are used to document the functions contained in the mex-files. The utility comes with several examples that show you how to use it..

  • Publisher: Jeff Perry
  • Date: 27-04-2013
  • Size: 123 KB
  • Platform: Matlab, Scripts

A simple example demonstrating how to track an object with particle filter. Likelihood function is based on Bhattacharya distance of color histograms. Please run mexme_pf_color_tracker to recompile mex-files on your own plateform. IMPORTANT. Be sure than you "mex -setup" had been done before compiling sources.

  • Platform: Matlab, Scripts

Read video frames into matlab using avisynth, or retrieve an info struct with information about the video. Input can be a video, an avisynth file or a cell-array of avisynth commands. Not as fast as the videoIO toolbox (about 2 times as slow), but faster than all the other video readers I have tried for matlab. The main purpose is of course the posibility to use avisynth commands. As long as you have the correct codecs installed on your system, avisynthReader can read the video. Matlab file-exchange doesn`t provide mex-files anymore, but this can be found at

  • Platform: Matlab, Scripts

SAT solvers by Cross-Entropy (CE) and a Botev-Kroeze (BK) optimization algorithms CNF SAT problems can be formulated as : S(X)=sum(j=1,...,m)C_j, where C_j=max(0 , (2X_i-1)*Aji Please run the demo files test_ce_satA.m test_cemcmc_satA.m In order to compile mex-files on your platform, please run first mexme_cebk_sat.m (be sure that mex -setup is done before).

  • Platform: Matlab, Scripts

Return the optimal path given the adjacency/cost sparse matrix and source/destination nodes. Run mexme_dijkstra.m to compile mex-files on your own-plateform. Be sure that "mex -setup" have been done at least one. Run test_dijkstra.m for the demo.

  • Platform: Matlab, Scripts

A demo illustring Particle filter for navigation with altimetric measurements. Performances of particle filter is compared with the Posterior Cramdodur-Rao Bounds Please run mexme_pf_nav.m for compiling mex-files on your plateform (be sure that mex -setup had been done before) run test_pfnav_pcrb.m for demo.

  • Platform: Matlab, Scripts

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