EM for HMM Multivariate Gaussian processes by Sebastien PARIS

A fast implementation of the EM Algorithm for HMM Multivariate Gaussian Mixture (probability, forwardbackward, em)

mexme_em_ghmm.m

test_em_ghmm.m

EM_MVGM by Sebastien PARIS

Fast implementation of EM algorithm for multivariate gaussian mixture (statistics, probability, expectationmaximizati...)

mexme_em_mvgm.m

test_em_mvgm.m

Fast GMM and Fisher Vectors by Sebastien PARIS

Fast GMM (diagonal covariances only) with Kmeans initialization and Fisher Vectors (gmm, fisher vector, openmp)

test_yael_gmm

G=gen_gauss(sigma)

[GX,GY]=gen_dgauss(sigma)

Fast K-means clustering by Sebastien PARIS

Fast mex K-means clustering algorithm with possibility of K-mean++ initialization. (statistics, image processing, mathematics)

test_yael_kmeans

gene_mvgm(d , K , sig)

mexme_yael_kmeans(options)

Fast Linear binary SVM classifier by Sebastien PARIS

Fast implementation of Linear binary SVM via BLAS/OpenMP API (largescale svm, computer vision, supervised classifica...)

test_lsvm

basicroc.m

mexme_lsvm(options)

Particle filter for robot localization using WiFi measurements by Sebastien PARIS

Tracking a robot with particle filter by correcting odometric measurements with WiFi signal (wireless, particle filter, wifi)

Demo illustring WiFi propagation loss in indoor building

generate_trajectory.m

load_flp(filename)

Objects/Faces Detection Toolbox by Sebastien PARIS

Objects/Faces detection using Local Binary Patterns and Haar features (boosting, faces detection, images processing)

Demo illustrating (Center-Symetric) MultiBlock Local Binary...

Demo illustrating Circular Histogram Local Binary Pattern (...

Demo illustrating HAAR features

2D Multiwall model by Sebastien PARIS

A fast implementation of the Multiwall model (communications, indoor propagation, emperical parametric ...)

mexme_multiwall_model.m

test_multiwall_model.m

Particle Filter Color Tracker by Sebastien PARIS

Tracking an object in a video with a Color Particle Filter (example, particle filter, image processing)

Free Split and Merge Expectation Maximization for MultiVariate Gaussian Mixture by Sebastien PARIS

FSMEM can estimate MVGM parameters and number of conpounds via split/merge cluster moves (split and merge, clustering, signal processing)

test_fsmem_mvgm

gene_mvgm(d , K , sig)

init_mvgm(Z , K)

NDellipse by Sebastien PARIS

Returns coordinates of 2d ellipsoids (statistics, probability, 2dellipsoidnd slices)

mexme_ndellipse.m

test_ndellipse.m

Multiclass GentleAdaboosting by Sebastien PARIS

A fast Gentle Adaboost classifier with two kind of weaklearners (i tired to run mexme_..., howver, mathematics)

test_gentleboost_model

auroc(tp, fp)

basicroc.m

2D random paths generator integrating leg's contraints by Sebastien PARIS

Generates random 2D leg'paths from departure to arrival integrating leg's constraints (random paths, dynamic programming, legs contraints)

Example where V random paths are generated with 2 exclusion...

circulant.m

exclusion.m

inpoly mex file by Sebastien PARIS

Find points inside or on the border of a polygon (inpoly, points, inside)

test_inpoly

mexme_inpoly.m

dijsktra path finder by Sebastien PARIS

Mex implementation of the dijkstra algorithm (dijsktra, adjacency matrix, optimization)

test_dijkstra

mexme_dijkstra.m

Neural Network Classifiers by Sebastien PARIS

Mex implementation of 3 majors neural networks classifiers. (grlvq, h2mglvq, statistics)

test_NN

basicroc.m

ini_proto.m

Fast ND multidimensional gaussian mixture random generator by Sebastien PARIS

A fast generator of gaussian mixture samples (statistics, probability, mixture)

mexme_sample_mvgm.m

test_sample_mvgm.m

Fast Gaussian Transform mex implementation by Sebastien PARIS

Mex inplementation of the FGT transform (statistics, probability, fgt)

test_fgt

mexme_fgt.m

Scenes/Objects classification toolbox by Sebastien PARIS

Scenes recognition toolbox for vision systems (bag of features, addidive kernel appro..., ldp)

demo_denseCOLOR

demo_denseMBLBP

demo_denseMBLDP

SAT solver by CE & BK algorithms by Sebastien PARIS

Solve SAT problems with 2 stochastic solvers : CE & BK algorithms (statistics, probability, sat)

ce_satA(A , option)

cemcmc_satA(A , option)

readsatA(name)

TSP solver by CE & BK algorithms by Sebastien PARIS

Solve TSP problems with 2 stochastic solvers : CE & BK algorithms (statistics, probability, tsp)

ce_tsp(L , option)

cemcmc_tsp(L , option)

generation_TSP();

Multi-Knapsack solver by Sebastien PARIS

Multi-Knapsack solver by two stochastic optimizer : CEM & BK algorithms (optimization, stochastic optimizati..., multiknapsack)

ce_knapsack(p , W , c , option)

cemcmc_knapsack(p , W , c , option)

cost_knapsack(X , p , W , c , alpha)

Multivariate Gaussian Mixture Model Optimization by Cross Entropy by Sebastien PARIS

Stochastic multi-extremum optimization. (cross entropy, multivariate, gaussian)

ce_mvgm(Z , option);

sample_gaussian_mixture(mua , mub , mumin , mumax , ...

mexme_ce_gauss.m

Particle filter and PCRB for terrain-aided navigation by Sebastien PARIS

Demo for terrain-aided navigation by particle filter (parficle filter, pcrb, altimetry)

commande(Y , v , dt , theta , ind_pos , ind_vit)

dt_cap(Y , norm_v , R_T)

generate_traj(X1 , Q1 , F , U , Q);

Multitarget Bearing Only Tracking by Particle Filter by Sebastien PARIS

A demo illustrating Multitarget BO tracking by particle filter (demo, signal processing, mathematics)

concatenate_Yclutter(Y , clutter);

delete_sources(Z , D , ind_D , M);

mexme_mtbot(options)

Sparse Field Methods for Active Contours by Shawn Lankton

Very fast implementation of level sets. 2D and 3D support, written in C++/MEX with MATLAB wrapper. (segmentation, lists, active contours)

sfm_chanvese(img,mask,iterations,lam)

compile_sfm_chanvese.m

sfm_chanvese_demo.m

Cross Entropy TSP Solver by Sebastien PARIS

Solve TSP problem with a CE method. (cross entropy, optimization, stochastic optimizati...)

TSP_CE(L , X1 , option)

distmat(V);

generation_TSP();

WiFi RSSI with NDIS protocole by Sebastien PARIS

List Wifi devices and retrieve RSSI values of the signal (rssi, wifi, wireless)

EM_UPM by Sebastien PARIS

Expectation-Maximization algorithme for univariate Poisson mixture (statistics, probability, expectationmaximizati...)

test_em_upm.m

RJ-MCMC algorithm for sinusoids parameter estimation by Sebastien PARIS

RJ-MCMC algorithm for sinusoids estimation (reverse jump, spectral analysis, mcmc)

birth_move(y , yt , x , tp_wk , D , DtD , M , MDt , ytPy , ...

bsinu(w , x);

death_move(y , yt , x , tp_wk , D , DtD , M , MDt , ytPy , ...

Wagner-Whitin Algorithm by Sebastien PARIS

Wagner-Whitin Algorithm (production plans, algorithm, wagnerwhitin)

wargner_whitin(d , K , c , h);

Number of sinusoids Estimator by Sebastien PARIS

Estimate the number of sinusoid in a signal. (spectral analysis, estimation, signal processing)

nbsinu(s , n , prob);

Quasi Montecarlo Halton sequence generator by Sebastien PARIS

A fast Halton sequence generator (halton sequence, statistics, probability)

test_halton.m

Parzen classifier by Sebastien PARIS

Mex implementation of a Parzen classifier (classifier, parzen, probability)

test_parzen.m

K-NN mex by Sebastien PARIS

Mex implementation of the KNN classifier (posteriori, knn, mex)