mloss.org gmm Gaussian Mixture Modeling with Gaussian Process Latent Variable Models and http://mloss.orgUpdates and additions to gmm Gaussian Mixture Modeling with Gaussian Process Latent Variable Models and enSat, 28 Aug 2010 00:29:37 -0000gmm Gaussian Mixture Modeling with Gaussian Process Latent Variable Models and 1.0http://mloss.org/software/view/272/<html><p>The gmm toolbox contains code for density estimation using mixtures of Gaussians: Starting from simple kernel density estimation with spherical and diagonal Gaussian kernels over manifold Parzen window until mixtures of penalised full Gaussians with only a few components. The toolbox covers many Gaussian mixture model parametrisations from the recent literature.
Most prominently, the package contains code to use the Gaussian Process Latent Variable Model for density estimation [1].
Most of the code is written in Matlab 7.x including some MEX files.
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<p>[1] http://arxiv.org/pdf/1006.3640
</p></html>hannes nickischSat, 28 Aug 2010 00:29:37 -0000http://mloss.org/software/rss/comments/272http://mloss.org/software/view/272/density estimation