On including sequential dependence in ICA mixture models

DOI10.1016/J.SIGPRO.2010.02.010zbMath1194.94135OpenAlexW2210696663WikidataQ57572711 ScholiaQ57572711MaRDI QIDQ985568

Ramón Miralles, Addisson Salazar, Luis Vergara

Publication date: 6 August 2010

Published in: Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.sigpro.2010.02.010

zbMATH Keywords

classifiershypnogramsICA mixturessequential dependence

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (1)

Fusion of Scores in a Detection Context Based on Alpha Integration

Cites Work

• A general procedure for learning mixtures of independent component analyzers
• Exploring Latent Structure of Mixture ICA Models by the Minimum β-Divergence Method
• Variational Mixture of Bayesian Independent Component Analyzers
• An on-line ICA-mixture-model-based self-constructing fuzzy neural network

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