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Distributed Density Estimation Based on a Mixture of Factor Analyzers in a Sensor Network

Distributed density estimation in sensor networks has received much attention due to its broad applicability. When encountering high-dimensional observations, a mixture of factor analyzers (MFA) is taken to replace mixture of Gaussians for describing the distributions of observations. In this paper,...

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Detalles Bibliográficos
Autores principales:	Wei, Xin, Li, Chunguang, Zhou, Liang, Zhao, Li
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2015
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4570359/ https://www.ncbi.nlm.nih.gov/pubmed/26251903 http://dx.doi.org/10.3390/s150819047

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