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Questions tagged [expectation-maximization]

Expectation Maximization (often abbreviated EM) is an iterative algorithm that can be used for maximum likelihood estimation in the presence of missing data or hidden variables.

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Modification to Expectation-Maximization algorithm for a Gaussian mixture model of isotropic diffusion?

My model system: an isotropically diffusing particle that undergoes stochastic switching between various diffusion coefficients (D1 <-> D2 <-> D3 <-> ...). Since the displacements along a trajectory of this hypothetical particle can be modeled as…
Zach Barry
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Expectation Maximization opencv-Log Likelihood value

I'm estimating the parameters of a GMM using EM, When I use my Matlab script And run the EM code i get a single value of "log-likelihood".. However in opencv the output of EM.train gives a matrix which contained the loglikelihood value of every…
ashwin shanker
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Weight parameter in GMM and Expectation Maximization

I am working in programming of GMM with EM. I am stuck with the following problem. As you will see in this website, there is a parameter "pi" which is in other words the weight or probability value. My question is how is this calculated? Or is it…
kcc__
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Expectation maximization in opencv

My problem is this: I have to approximate a distribution with a mixture of two-component Gaussian model. In particular I need to two variances of the two Gaussian distributions. In openCv I can use the class EM; problem is that I can obtain only two…
Alessandro
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Access Violation in CvEM::getCovs function

I am using cvEm for Gaussian Mixture modeling on a 2D data. After calling the train function it returns True (signing a successful training) and also classification results (having different clusters in different colors) seem reasonable, but I get…
user2969007
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Draw ellipses on people using Expectation Maximization with OpenCV

I have a few doubts about how to approach my goal. I have an outside camera who is recording people and I want to draw an ellipse on every person. Right now what I do is get the feature points of the people from the frame (I get them using a mask to…
antonio escudero
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Alternative for dynamic parallelism for CUDA

I am very new to the CUDA programming model and programming in general, I suppose. I'm attempting to parallelize an expectation maximization algorithm. I am working on a gtx 480 which has compute capability 2.0. At first, I sort of assumed that…
user2529048
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The relationship between fisher information and EM algorithm?

What is the relationship between fisher information and EM algorithm? When I read papers about EM algorithm, people sometimes discussed fisher information, and there are algorithms which would combine fisher scoring method and EM algorithm together.…
Jack2019
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Expectation Maximization Reestimation

Typically, the re-estimation iterative procedure stops when lambda.bar - lambda is less than some epsilon value. How exactly does one determine this epsilon value? I often only see is written as the general epsilon symbol in papers, and never the…
user1830307
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Expection Maximization - on observation count in Coin toss example

I can see many examples related to EXPECTATION-MAXIMIZATION algorithm. Few links are Expectation Maximization coin toss…
user1599171
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Opencv: Get Expectation Maximization (EM) using Gaussian Mixture Model ( GMM)

I am trying to use GMM to find expectation maximization of different colors in a video frame. Then according to that, I will determine which is the dominant color. For that, my problem is how can I perform GMM based EM to get and compare those…
E_learner
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Expectation Maximization (EM) Algorithm for Clustering

Knowing that EM algorithm as applied to fitting a mixture of Gaussians. Is there any example of this algorithm where is explained with k-means, in MATLAB? I have found this m file: function [label, model, llh] = emgm(X, init) % Perform EM algorithm…
edgarmtze
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Extract parameters from EMCluster package

is there a way to extract parameters of the Gaussian distributions (mean and variance) using R's EMCluster package?
E.Wan
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Eliminating False Positives detected by OpenCV EM

I am developing an algorithm in Python, which is supposed to identify the area on a leaf that contains spots to report the severity of a disease. During my research, I found out about LeafSnap and got inspired by it. So, I tried to follow the paper…
Tarcisiofl
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K-means as specialized case of generalized EM Algorithm

I am using a dataset to make 2 clusters using EM and then K-means. I already have implemented K-means and EM Algorithm separately. Now I am trying to derive k-means from my implementation of EM Algorithm to do clustering. I have 2 questions in…
Haroon S.
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