Browsing by Keywords "Gaussian mixture models"
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Maximum likelihood estimation of Gaussian mixture models using stochastic search
(Elsevier BV, 2012)Gaussian mixture models (GMM), commonly used in pattern recognition and machine learning, provide a flexible probabilistic model for the data. The conventional expectationmaximization (EM) algorithm for the maximum likelihood ... -
Maximum likelihood estimation of robust constrained Gaussian mixture models
(Bilkent University, 2013)Density estimation using Gaussian mixture models presents a fundamental trade off between the flexibility of the model and its sensitivity to the unwanted/unmodeled data points in the data set. The expectation ...