We propose a novel technique for decentralized estimation of probabilistic mixture models, which are among the most versatile generative models for ...
More precisely, we demonstrate how to estimate a global mixture model from a set of local models. Our approach accommodates dynamic topology and data sources ...
Ali El Attar, Antoine Pigeau, Marc Gelgon: Robust estimation of a global Gaussian mixture by decentralized aggregations of local models. Web Intell.
Jan 5, 2024 · Ali El Attar, Antoine Pigeau, Marc Gelgon. Robust estimation of a global Gaussian mixture by decentralized aggregations of local models.
Synthetic data experiment: these figures present the models of.. Robust estimation of a global Gaussian mixture by decentralized aggregations of local models.
Robust estimation of a global Gaussian mixture by decentralized aggregations of local models. A El-Attar, A Pigeau, M Gelgon. Web Intelligence and Agent ...
More precisely, we demonstrate how to estimate a global mixture model from a set of local models. Our approach accommodates dynamic topology and data ...
In this paper, we described a novel approach dedicated to the mixture reduction phase involved in merging Gaussian mixture models.
Robust estimation of a global Gaussian mixture by decentralized aggregations of local models. Author: EL-ATTAR, Ali1 ; PIGEAU, Antoine1 ; GELGON, Marc1