… , the novel Gaussian mixture reduction algorithm introduced in this paper avoids to directly
reduce the original Gaussian mixture. Instead, an approximate mixture is generated from …

… the best algorithms for Gaussian mixture reduction, the GMRC (Gaussian Mixture Reduction
via … We note situations that could yield invalid results (ie, reduced mixtures having negative …

… and consider few mixture components at the same time. The mixture reduction algorithm …
and adapts it for the problem of Gaussian mixture reduction. The achieved results are on the …

… reduction to (or assumption of) a Gaussian distributed state. Multimodal estimators, ie, Gaussian
mixture … The advantage of Gaussian estimators is the compact and constant amount of …

… moment calculation [15] and Gaussian Mixture reduction [16]. A homotopy-based filtering …
such as Gaussian Mixture densities, which is outside the scope of this paper. Progressive …

… a reduction [16] indispensable. An alternating procedure involving Gaussian mixtures and
… Therefore, we propose an efficient “assumed Gaussian mixture density” progressive filter …

… to Gaussian mixture Chernoff fusion based on the progressive Bayes framework, where the
optimal fused mixture is … Progressive Gaussian mixture reduction. In 2008 11th International …

… We begin by focusing on reducing a bivariate Gaussian mixture of order N = 25. Instead of
arbitrarily selecting original mixtures, we generate a total of R = 100 mixtures with a structured …

… Gaussian mixture-model with expectation maximization (GEM) and variational Bayesian
independent component analysis mixture-… 83 eyes with known progressive glaucomatous optic …

… named progressive Gaussian mixture reduction has recently been proposed [HH08]. Here,
a Gaussian mixture is successively constructed to approximate the original mixture with far …