MAP approximation to the variational Bayes Gaussian mixture model and application

DOI10.1007/s00500-017-2565-zzbMath1398.68446OpenAlexW2605310447MaRDI QIDQ1797934

Kart-Leong Lim, Han Wang

Publication date: 22 October 2018

Published in: Soft Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00500-017-2565-z

zbMATH Keywords

image classificationGaussian mixture modelvariational Bayesexpectation maximization

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Uses Software

• PRMLT

Cites Work

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• Supervised learning of Gaussian mixture models for visual vocabulary generation
• Variational learning of a Dirichlet process of generalized Dirichlet distributions for simultaneous clustering and feature selection
• Bayesian k-Means as a “Maximization-Expectation” Algorithm
• Variational inference for Dirichlet process mixtures

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