Efficient Computation of Normalized Maximum Likelihood Codes for Gaussian Mixture Models With Its Applications to Clustering

IEEE Transactions on Information Theory ◽

10.1109/tit.2013.2276036 ◽

2013 ◽

Vol 59 (11) ◽

pp. 7718-7727 ◽

Author(s):

So Hirai ◽

Kenji Yamanishi

Keyword(s):

Maximum Likelihood ◽

Mixture Models ◽

Gaussian Mixture Models ◽

Gaussian Mixture ◽

Efficient Computation ◽

Normalized Maximum Likelihood

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Correction to Efficient Computation of Normalized Maximum Likelihood Codes for Gaussian Mixture Models With Its Applications to Clustering [Nov 13 7718-7727]

IEEE Transactions on Information Theory ◽

10.1109/tit.2019.2915237 ◽

2019 ◽

Vol 65 (10) ◽

pp. 6827-6828

Author(s):

So Hirai ◽

Kenji Yamanishi

Keyword(s):

Maximum Likelihood ◽

Mixture Models ◽

Gaussian Mixture Models ◽

Gaussian Mixture ◽

Efficient Computation ◽

Normalized Maximum Likelihood

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Maximum Likelihood Estimation of Gaussian Mixture Models Using Particle Swarm Optimization

2010 20th International Conference on Pattern Recognition ◽

10.1109/icpr.2010.188 ◽

2010 ◽

Author(s):

Caglar Ari ◽

Selim Aksoy

Keyword(s):

Particle Swarm Optimization ◽

Maximum Likelihood ◽

Maximum Likelihood Estimation ◽

Mixture Models ◽

Gaussian Mixture Models ◽

Particle Swarm ◽

Likelihood Estimation ◽

Gaussian Mixture ◽

Swarm Optimization

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Maximum-likelihood dimensionality reduction in gaussian mixture models with an application to object classification

2008 19th International Conference on Pattern Recognition ◽

10.1109/icpr.2008.4761131 ◽

2008 ◽

Author(s):

Massimo Piccardi ◽

Hatice Gunes ◽

Ahmed Fawzi Otoom

Keyword(s):

Maximum Likelihood ◽

Dimensionality Reduction ◽

Mixture Models ◽

Gaussian Mixture Models ◽

Object Classification ◽

Gaussian Mixture

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Maximum likelihood estimation of Gaussian mixture models using stochastic search

Pattern Recognition ◽

10.1016/j.patcog.2011.12.023 ◽

2012 ◽

Vol 45 (7) ◽

pp. 2804-2816 ◽

Author(s):

Çağlar Arı ◽

Selim Aksoy ◽

Orhan Arıkan

Keyword(s):

Maximum Likelihood ◽

Maximum Likelihood Estimation ◽

Mixture Models ◽

Gaussian Mixture Models ◽

Likelihood Estimation ◽

Gaussian Mixture ◽

Stochastic Search

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Maximum Likelihood Estimation of Gaussian Mixture Models Using PSO for Image Segmentation

2013 IEEE 16th International Conference on Computational Science and Engineering ◽

10.1109/cse.2013.81 ◽

2013 ◽

Author(s):

Khoa Anh Tran ◽

Nhat Quang Vo ◽

Gueesang Lee

Keyword(s):

Image Segmentation ◽

Maximum Likelihood ◽

Maximum Likelihood Estimation ◽

Mixture Models ◽

Gaussian Mixture Models ◽

Likelihood Estimation ◽

Gaussian Mixture

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Maximum likelihood estimation of Gaussian mixture models without matrix operations

Advances in Data Analysis and Classification ◽

10.1007/s11634-015-0209-7 ◽

2015 ◽

Vol 9 (4) ◽

pp. 371-394 ◽

Author(s):

Hien D. Nguyen ◽

Geoffrey J. McLachlan

Keyword(s):

Maximum Likelihood ◽

Maximum Likelihood Estimation ◽

Mixture Models ◽

Gaussian Mixture Models ◽

Likelihood Estimation ◽

Gaussian Mixture ◽

Matrix Operations

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MALCOM X: Combining maximum likelihood continuity mapping with Gaussian mixture models

10.2172/677150 ◽

1998 ◽

Author(s):

J. Hogden ◽

J.C. Scovel

Keyword(s):

Maximum Likelihood ◽

Mixture Models ◽

Gaussian Mixture Models ◽

Gaussian Mixture

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Speaker Feature Modeling Utilizing Constrained Maximum Likelihood Linear Regression and Gaussian Mixture Models

International Journal of Advanced Trends in Computer Science and Engineering ◽

10.30534/ijatcse/2020/77912020 ◽

2020 ◽

Vol 9 (1) ◽

pp. 562-566

Author(s):

Elmer R. Magsino

Keyword(s):

Maximum Likelihood ◽

Linear Regression ◽

Mixture Models ◽

Gaussian Mixture Models ◽

Gaussian Mixture ◽

Feature Modeling ◽

Constrained Maximum Likelihood ◽

Maximum Likelihood Linear Regression

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Fast Clustering of GARCH Processes Via Gaussian Mixture Models

SSRN Electronic Journal ◽

10.2139/ssrn.2071716 ◽

2012 ◽

Author(s):

Gian Piero Aielli ◽

Massimiliano Caporin

Keyword(s):

Mixture Models ◽

Gaussian Mixture Models ◽

Gaussian Mixture ◽

Garch Processes

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Parameter Estimation in Gaussian Mixture Models with Malicious Noise, without Balanced Mixing Coefficients

2018 56th Annual Allerton Conference on Communication, Control, and Computing (Allerton) ◽

10.1109/allerton.2018.8635825 ◽

2018 ◽

Author(s):

Jing Xu ◽

Jakub Marecek

Keyword(s):

Parameter Estimation ◽

Mixture Models ◽

Gaussian Mixture Models ◽

Gaussian Mixture ◽

Mixing Coefficients

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