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IWANN
2005
Springer

Manifold Constrained Finite Gaussian Mixtures

10 years 1 months ago
Manifold Constrained Finite Gaussian Mixtures
In many practical applications, the data is organized along a manifold of lower dimension than the dimension of the embedding space. This additional information can be used when learning the model parameters of Gaussian mixtures. Based on a mismatch measure between the Euclidian and the geodesic distance, manifold constrained responsibilities are introduced. Experiments in density estimation show that manifold Gaussian mixtures outperform ordinary Gaussian mixtures.
Cédric Archambeau, Michel Verleysen
Added 28 Jun 2010
Updated 28 Jun 2010
Type Conference
Year 2005
Where IWANN
Authors Cédric Archambeau, Michel Verleysen
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