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

2010 ◽

Cited By ~ 3

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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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 ◽

Cited By ~ 14

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 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 ◽

Cited By ~ 2

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 ◽

Cited By ~ 25

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 ◽

Cited By ~ 13

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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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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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 ◽

Cited By ~ 1

Author(s):

Jing Xu ◽

Jakub Marecek

Keyword(s):

Parameter Estimation ◽

Mixture Models ◽

Gaussian Mixture Models ◽

Gaussian Mixture ◽

Mixing Coefficients

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

Maximum Likelihood Estimation of Gaussian Mixture Models Using Particle Swarm Optimization

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

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

Maximum likelihood estimation of Gaussian mixture models using stochastic search

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

Maximum likelihood estimation of Gaussian mixture models without matrix operations

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

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

Fast Clustering of GARCH Processes Via Gaussian Mixture Models

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

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