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- W2022083907 abstract "In this contribution we derive the Maximum A-Posteriori (MAP) estimates of the parameters of a Gaussian Mixture Model (GMM) in the presence of noisy observations. We assume the distortion to be white Gaussian noise of known mean and variance. An approximate conjugate prior of the GMM parameters is derived allowing for a computationally efficient implementation in a sequential estimation framework. Simulations on artificially generated data demonstrate the superiority of the proposed method compared to the Maximum Likelihood technique and to the ordinary MAP approach, whose estimates are corrected by the known statistics of the distortion in a straightforward manner." @default.
- W2022083907 created "2016-06-24" @default.
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- W2022083907 date "2013-05-01" @default.
- W2022083907 modified "2023-10-03" @default.
- W2022083907 title "Map-based estimation of the parameters of a Gaussian Mixture Model in the presence of noisy observations" @default.
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- W2022083907 doi "https://doi.org/10.1109/icassp.2013.6638279" @default.
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