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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,...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2015
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| Materias: | |
| 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 |