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updated 25 days ago

robust nonrigid point set registration by Bing Jian

Bing Jian (view profile)

MATLAB implementation of two nonrigid point set registration algorithms (point set registratio..., point pattern matchin..., thin plate splines)

DisplayPoints(Model, Scene, dim, sampling, axis_limits)

DisplayPoints2D(Model, Scene, sampling, axis_limits)

DisplayPoints3D(Model, Scene, sampling, axis_limits)

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updated 1 month ago

EM_GM by Patrick Tsui

Patrick Tsui (view profile)

An expectation maximization algorithm for learning a multi-dimensional Gaussian mixture. (statistics, probability, expectation maximizat...)

EM_GM(X,k,ltol,maxiter,pflag,Init)

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updated 1 month ago

Fast EM_GM by Patrick Tsui

Patrick Tsui (view profile)

An expectation maximization algorithm for learning a multi-dimensional Gaussian mixture. (statistics, probability, expectation maximizat...)

EM_GM_fast(X,k,ltol,maxiter,pflag,Init)

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updated 1 month ago

mmvn_toolkit by Michael Boedigheimer

complete toolkit for generating, training, testing and viewing multidimensional gaussian mixtures (statistics, probability, em)

center(X, V, dim)

colorfulcube( M, creq, method )

ellipse( M, V, dims, sd )

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updated 1 month ago

EM Algorithm for Gaussian Mixture Model (EM GMM) by Mo Chen

Mo Chen (view profile)

EM algorithm for Gaussian mixture. Works on arbitray dimensions with high speed and precision. (em, gmm, mle)

logsumexp(X, dim)

mixGaussEm(X, init)

mixGaussPred(X, model)

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updated 1 month ago

Probabilistic Linear Regression by Mo Chen

Mo Chen (view profile)

Probabilistic Linear Regression with automatic model selection (linear regression, machine learning, statistics)

linReg(X, t, lambda)

linRegEm(X, t, alpha, beta)

linRegFp(X, t, alpha, beta)

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updated 1 month ago

EM for Mixture of Bernoulli (Unsupervised Naive Bayes) for clustering binary data by Mo Chen

Mo Chen (view profile)

EM for Mixture of Bernoulli (Unsupervised Naive Bayes) for clustering binary data (clusteirng, mixture model, em)

logsumexp(X, dim)

mixBernEm(X, k)

mixBernRnd(d, k, n)

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updated 8 months ago

Gamma Mixture Model estimation with EM algorithm by Gabriel Ramos Llordén

Gamma Mixture Model estimation with EM algorithm (gamma, em, mixture model)

GMMestimator.m

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updated 1 year ago

Energy–Maneuverability (E–M) Plot by Robert Nordlund

EMPLOT generates an energy–maneuverability (E–M) plot. (aerospace, aircraft, flight envelope)

emplot(AC,h,n,v,AS_units,Ps_contours,r_contours,n_contours)

emplot_test.m

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updated 1 year ago

GUI for TE/TM electromagnetic plane waves propagation through multilayered structures by Lorenzo Luini

GUI for the analysis of TE/TM E.M. plane waves propagation through multilayered structures (em, electromagnetic, example)

TE and TM electromagnetic plane waves propagation

PlaneWaveGUI_v2_1.m

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updated 2 years ago

EM-MPM Image Segmentation Algorithm by Alceu Costa

Segments a grayscale image using the EM-MPM algorithm. (segmentation, em, image processing)

emmpm(I, regions, varargin)

otsurec(I, ttotal)

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updated 3 years ago

3D visualization of GMM learning via the EM algorithm by Johannes

Johannes (view profile)

The evolution of a GMM in the EM algorithm is visualized by interpolating between iterations. (expectation maximizat..., gaussian mixture mode..., em)

EM_GMM_3d(c,wk,N,movie,Y,D,Cv)

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updated 3 years ago

Hierarchical Kalman Filter for clinical time series prediction by Shuang Wang

Shuang Wang (view profile)

It is an implementation of hierarchical (a.k.a. multi-scale) Kalman filter using belief propagation. (belief propagation, bp, message passing)

EMConvergence(msg, varNode, ts_data, numLevels)

EMForMultiScaleKalmanFilter(msg, varNode, belief, ts_data...

GaussianDivision(G1, G2)

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updated 3 years ago

EM for HMM Multivariate Gaussian processes by Sebastien PARIS

Sebastien PARIS (view profile)

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

mexme_em_ghmm.m

test_em_ghmm.m

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updated almost 4 years ago

EM algorithm for Gaussian mixture model with background noise by Andrew

Andrew (view profile)

Standard EM algorithm to fit a GMM with the (optional) consideration of background noise. (gmm, em, clustering)

GM_EM(X,k,bn_noise,reps,max_iters,tol)

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updated 4 years ago

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

Sebastien PARIS (view profile)

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

test_fsmem_mvgm

mexme_fsmem_mvgm.m

gene_mvgm(d , K , sig)

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updated 6 years ago

When wavelet meet HMM by Su Dongcai

Su Dongcai (view profile)

1D signal denoising and classification using WHMT (signal processing, wavelet, hidden markov model)

trainWHMM_1d.m

Idwt(x,h,L)

Iidwt(w,h,L)

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updated 6 years ago

gaussian_mixture_model.m by Matthew Roughan

Matthew Roughan (view profile)

Estimate the parameters of a 1D Gaussian Mixture Model using the EM algorithm. (statistics, estimation, gaussian)

gaussian_mixture_model(values, C, epsilon)

norm_density(x, mu, sigma)

normcdf(x, mu, sigma)

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updated almost 7 years ago

Expectation-Maximization algorithm for bi-variate Normal Inverse Gaussian distribution by Karol Binkowski

Expectation-Maximization (EM) algorithm for bi-variate Normal Inverse Gaussian (biNIG) distribution (simulation, statistics, finance)

EMBIVNIG(x1, x2, iter, tolcrit, alphas, betas1, betas2, d...

binigm1(mu1, mu2, alpha, beta1, beta2, dlt, Sigma)

binigm2(mu1, mu2, alpha, beta1, beta2, dlt, Sigma)

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updated almost 7 years ago

Expectation Maximization of Gaussian Mixture Models via CUDA by Andrew Harp

CUDA enabled parallel EM for Gaussian Mixture Models, providing over 100x performance increases. (gpu, cuda, gmm)

errorellipse(mu,sigma,stdev,n)

gmm_test(num_clusts, num_dims, num_samps, num_steps, num_...

nvmex(varargin)

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updated almost 10 years ago

HLNfit by Jonathan Huang

Code for fitting and visualizing a Hierarchical Logistic-Normal distribution (statistics, probability, hierarchical logistic...)

conditionalMode(y,mu,cov,EMiter,initialz)

genHLNsamples(numdocs, numdraws,mu,cov)

genSamps(n,mu,cov)

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updated 10 years ago

EM image segmentation by Jose Vicente Manjon-Herrera

Apllication of EM algorithm to segment a grey scale image on diferent classes (morphology, segmentation, em segmentation)

EMSeg(ima,k)

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updated 11 years ago

Clustering Toolbox by Janos Abonyi

Janos Abonyi (view profile)

The toolbox provides four categories of functions. (statistics, probability, clustering)

Kmedoid.m

PCA.m

FCMclust(data,param)

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updated 11 years ago

MLE for two Normal Mixtures using EM- algorithm by Panagiotis Braimakis

Illustration of EM algorithm for parameter estimation of Bimodal univariate distributions ... (statistics, probability, em)

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updated almost 13 years ago

EM Algorithm for Clustering (EMfc.m) by Panagiotis Braimakis

EM for clustering ... (statistics, probability, em)

EMfc

confreg(mu,S,n,a)

kmeansit

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