Project details for gmm Gaussian Mixture Modeling with Gaussian Process Latent Variable Models and

Logo gmm Gaussian Mixture Modeling with Gaussian Process Latent Variable Models and 1.0

by hn - August 28, 2010, 00:29:37 CET [ BibTeX BibTeX for corresponding Paper Download ]

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Description:

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.

[1] http://arxiv.org/pdf/1006.3640

Changes to previous version:

Initial Announcement on mloss.org

BibTeX Entry: Download
Corresponding Paper BibTeX Entry: Download
Supported Operating Systems: Agnostic, Platform Independent
Data Formats: Matlab
Tags: Density Estimation
Archive: download here

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