Consensus-like algorithms for estimation of Gaussian mixtures over large scale networks
type: Item
instance of: scholarly article
zbMATH Open document ID: 1281.62185
DOI: 10.1142/S0218202513400125
author: Fabio Fagnani
author: Sophie M. Fosson
author: Chiara Ravazzi
publication date: 2014-01-24T00:00:00Z
Mathematics Subject Classification ID: 62M09
Mathematics Subject Classification ID: 62H30
Mathematics Subject Classification ID: 65C60
zbMATH DE Number: 6250062
zbMATH Keywords: sensor networks
zbMATH Keywords: estimation
zbMATH Keywords: clustering
zbMATH Keywords: maximum likelihood estimation
MaRDI profile type: Publication
cites work: On the convergence properties of the EM algorithm
cites work: Distributed Subgradient Methods for Multi-Agent Optimization
cites work: A study of Gaussian mixture models of color and texture features for image classification and segmentation
cites work: A generalized Isserlis theorem for location mixtures of Gaussian random vectors
full work available at URL: s0218202513400125
OpenAlex ID: W2134582608
published in: M\(^3\)AS. Mathematical Models \& Methods in Applied Sciences
title: Consensus-like algorithms for estimation of Gaussian mixtures over large scale networks
description: scientific article; zbMATH DE number 6250062