Bayesian estimation of Dirichlet mixture model with variational inference
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Publication:736314
DOI10.1016/j.patcog.2014.04.002zbMath1342.62034OpenAlexW2053571848MaRDI QIDQ736314
Markus Flierl, Pravin Kumar Rana, Zhanyu Ma, Jalil Taghia, Arne Leijon
Publication date: 3 August 2016
Published in: Pattern Recognition (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.patcog.2014.04.002
Bayesian estimationDirichlet distributionvariational inferencemixture modelingrelative convexityextended factorized approximationgamma priorLSF quantizationmultiview depth image enhancement
Related Items (7)
Support vector machine with Dirichlet feature mapping ⋮ Identification of jump Markov autoregressive exogenous systems with missing measurements ⋮ Forward modeling and inverse estimation for nonlinear filtering ⋮ View synthesis for FTV systems based on a minimum spatial distance and correspondence field ⋮ Fast approximation of variational Bayes Dirichlet process mixture using the maximization-maximization algorithm ⋮ Generating realistic labelled, weighted random graphs ⋮ A Bayesian nonparametric model for multi-label learning
Uses Software
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