Software Listing of Author : "Sebastien Paris"

Compute 2D - MultiWall model Usage ------ rs_amp = multiwall_model(TXpoint , RXpoint , walls , material , [L0] , [n]); Inputs ------- TXpoint Transmitter points (2 x Nt) RXpoint Receiver points (2 x Nr) walls Walls (4 x nwall) where [xi,0 ;

  • Platform: Matlab, Scripts

Generates random 2D-paths between start and finish nodes according to densities distribution given by matrix C with leg's contrainsts defined by the adjacency matrix I.

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

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.

  • Platform: Matlab, Scripts

Return the optimal path given the adjacency/cost sparse matrix and source/destination nodes.

  • Platform: Matlab, Scripts

em_ghmm : Expectation-Maximization algorithm for a HMM with Multivariate Gaussian measurement

  • Platform: Matlab, Scripts
  • EM_MVGM
  • License: Shareware
  • Price:

Mex implementation of EM algorithm for multivariate Gaussian mixture

  • Platform: Matlab, Scripts
  • EM_UPM
  • License: Shareware
  • Price:

em_uvp : Expectation-Maximization algorithm for a Univariate Poisson Mixture

  • Platform: Matlab, Scripts

This toolbox provides some tools for faces detection/classification using Local Binary Patterns (and some variants) and Haar features

  • Platform: Matlab, Scripts

Here is another fast implementation of the FGT transform

  • Platform: Matlab, Scripts

A fast generator of gaussian mixture samples with a general ND dimensional calling syntax.

  • Platform: Matlab, Scripts

Free Split and Merge Expectation-Maximization algorithm for Multivariate Gaussian Mixtures

  • Platform: Matlab, Scripts

A fast mex version of the modified inpoly function.

  • Platform: Matlab, Scripts

Retun predicted labels and a posteriori probabilities given training/test data.

  • 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

  • Platform: Matlab, Scripts

A fast Gentle Adaboost classifier with two different weak-learners: i) decision stump and ii) perceptron.

  • Platform: Matlab, Scripts

A fast implementation of particle filter dedicaced to multitarget tracking with bearing only measurements.

  • 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

  • Platform: Matlab, Scripts

NDellipse returns 2d coordinates of several ellipsoids defined by NDslices.

  • Platform: Matlab, Scripts

Fast implementation of the GRLVQ, SRNG and H2MGLVQ algorithms, three supervised LVQ classifiers

  • Platform: Matlab, Scripts

Fast Algorithm estimating the number of sinusoids in a white Gaussian noise

  • Platform: Matlab, Scripts

A demo illustring Particle filter for navigation with altimetric measurements

  • Platform: Matlab, Scripts

A simple example demonstrating how to track an object with particle filter

  • Platform: Matlab, Scripts

Here is a mex implementation of a Parzen classifier

  • Platform: Matlab, Scripts

A mex file of a Halton sequence generator.

  • Platform: Matlab, Scripts

SAT solvers by Cross-Entropy (CE) and a Botev-Kroeze (BK) optimization algorithms

  • Platform: Matlab, Scripts

This toolbox provides some basic tools for scenes/object recognition in vision systems

  • Platform: Matlab, Scripts

Solve the classic Travel Sale Man problem with Cross-Entropy method (CE) (parametric approach) and the Botev-Kroeze (BK) (non-parametric approach) optimization algorithm

  • Platform: Matlab, Scripts

Build production plans versus time cycles k =1,...,N responding production queries dk

  • Platform: Matlab, Scripts
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