Matrix Manifold Optimization for Gaussian Mixtures

NeurIPS 2015 Reshad HosseiniSuvrit Sra

We take a new look at parameter estimation for Gaussian Mixture Model (GMMs). Specifically, we advance Riemannian manifold optimization (on the manifold of positive definite matrices) as a potential replacement for Expectation Maximization (EM), which has been the de facto standard for decades... (read more)

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