Maximum likelihood estimation of Gaussian mixture models using stochastic search
نویسندگان
چکیده
منابع مشابه
Maximum likelihood estimation of Gaussian mixture models using stochastic search
Gaussian mixture models (GMM), commonly used in pattern recognition and machine learning, provide a flexible probabilistic model for the data. The conventional expectation–maximization (EM) algorithm for the maximum likelihood estimation of the parameters of GMMs is very sensitive to initialization and easily gets trapped in local maxima. Stochastic search algorithms have been popular alternati...
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ژورنال
عنوان ژورنال: Pattern Recognition
سال: 2012
ISSN: 0031-3203
DOI: 10.1016/j.patcog.2011.12.023