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Variational Bayes method (mean field) for GMM can auto determine the number of components
This is the variational Bayesian procedure (also called mean field) for inference of Gaussian mixture model. This is the Bayesian treatment of Gaussian mixture model.
Unlike the EM algorithm (Maximum likelihood estimation), it can automatically determine the number of the mixture components k.
Implementation based on:
"Finite-Element Discretization Of Static Hamilton-Jacobi Equations Based On A Local Variational Principle"
by F. Bornemann and C. Rasch
1. There is no restriction...
These function implement Lie integrators to perform long time simulation of a rigid body in a static spring-magnetic potential field. This numerical test of symplecticity is detailed in:
Bou-Rabee, N., Ortolan, G., and Saccon, A....
The tvreg package applies total variation (TV) regularization to perform image denoising, deconvolution, and inpainting. Three different noise models are supported: Gaussian (L2), Laplace (L1), and Poisson. The implementation solves the general TV...
This Matlab/C code contains routines to perform level set image segmentation according to:
(1) various multiphase (multiregion) formulations, including a fast scheme where the computation load grows linearly with the number of regions...
Lyapunov exponent calcullation for ODE-system. The alogrithm employed in this m-file for determining Lyapunov exponents was proposed in A. Wolf, J. B. Swift, H. L. Swinney, and J. A. Vastano, "Determining Lyapunov Exponents from a Time...
This program was written as a part of the d-deDUMedical Imagingd-deDt course. Together with Alex Blekhman (http://www.mathworks.com/matlabcentral/fil...e/authors/26540)- my partner we have implemented the paper "Active Contours without...
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