Mean-Field Approaches to Independent Component Analysis

DOI10.1162/089976602317319009zbMath1026.62054OpenAlexW2106250683WikidataQ41661349 ScholiaQ41661349MaRDI QIDQ4330676

Lars Kai Hansen, Ole Winther, Pedro A. d. F. R. Højen-Sørensen

Publication date: 14 May 2002

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: https://backend.orbit.dtu.dk/ws/files/3938738/imm611.pdf

zbMATH Keywords

source modelsLaplace source priorsmixtures of Gaussian source priors

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Estimation in multivariate analysis (62H12) Bayesian inference (62F15) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (3)

The Kosko subsethood fuzzy associative memory (KS-FAM): mathematical background and applications in computer vision ⋮ On the Slow Convergence of EM and VBEM in Low-Noise Linear Models ⋮ State-Space Models: From the EM Algorithm to a Gradient Approach

Cites Work

• Estimating the dimension of a model
• Learning the parts of objects by non-negative matrix factorization

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