CONSENSUS-LIKE ALGORITHMS FOR ESTIMATION OF GAUSSIAN MIXTURES OVER LARGE SCALE NETWORKS

DOI10.1142/S0218202513400125zbMath1281.62185OpenAlexW2134582608MaRDI QIDQ2873521

Sophie M. Fosson, Chiara Ravazzi, Fabio Fagnani

Publication date: 24 January 2014

Published in: Mathematical Models and Methods in Applied Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0218202513400125

zbMATH Keywords

estimationmaximum likelihood estimationclusteringsensor networks

Mathematics Subject Classification ID

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Cites Work

• A generalized Isserlis theorem for location mixtures of Gaussian random vectors
• On the convergence properties of the EM algorithm
• A study of Gaussian mixture models of color and texture features for image classification and segmentation
• Distributed Subgradient Methods for Multi-Agent Optimization

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