Classification of a known sequence of motions and postures from accelerometry data using adapted Gaussian mixture models

Physiological Measurement ◽

10.1088/0967-3334/27/10/001 ◽

2006 ◽

Vol 27 (10) ◽

pp. 935-951 ◽

Author(s):

Felicity R Allen ◽

Eliathamby Ambikairajah ◽

Nigel H Lovell ◽

Branko G Celler

Keyword(s):

Mixture Models ◽

Gaussian Mixture Models ◽

Gaussian Mixture

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Classification of primary radar tracks using Gaussian mixture models

IET Radar Sonar & Navigation ◽

10.1049/iet-rsn.2008.0182 ◽

2009 ◽

Vol 3 (6) ◽

pp. 559

Author(s):

L.P. Espindle ◽

M.J. Kochenderfer

Keyword(s):

Mixture Models ◽

Gaussian Mixture Models ◽

Gaussian Mixture

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Locality-preserving discriminant analysis and Gaussian mixture models for spectral-spatial classification of hyperspectral imagery

2012 4th Workshop on Hyperspectral Image and Signal Processing (WHISPERS) ◽

10.1109/whispers.2012.6874299 ◽

2012 ◽

Author(s):

Zhen Ye ◽

Saurabh Prasad ◽

Wei Li ◽

James E. Fowler ◽

Mingyi He

Keyword(s):

Discriminant Analysis ◽

Mixture Models ◽

Hyperspectral Imagery ◽

Gaussian Mixture Models ◽

Gaussian Mixture ◽

Spatial Classification ◽

Locality Preserving

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A two-stage approach using Gaussian mixture models and higher-order statistics for a classification of normal and pathological voices

EURASIP Journal on Advances in Signal Processing ◽

10.1186/1687-6180-2012-252 ◽

2012 ◽

Vol 2012 (1) ◽

Author(s):

Ji Yeoun Lee

Keyword(s):

Order Statistics ◽

Mixture Models ◽

Gaussian Mixture Models ◽

Gaussian Mixture ◽

Higher Order ◽

Higher Order Statistics ◽

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New Families in our Solar Neighborhood: Applying Gaussian Mixture Models for Objective Classification of Structures in the Milky Way and in Simulations

The Astrophysical Journal ◽

10.3847/1538-4357/ac1a10 ◽

2021 ◽

Vol 921 (2) ◽

pp. 106

Author(s):

Farnik Nikakhtar ◽

Robyn E. Sanderson ◽

Andrew Wetzel ◽

Sarah Loebman ◽

Sanjib Sharma ◽

...

Keyword(s):

Mixture Models ◽

Milky Way ◽

Gaussian Mixture Models ◽

Gaussian Mixture ◽

Solar Neighborhood ◽

Objective Classification

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Quartiles and Mel Frequency Cepstral Coefficients vectors in Hidden Markov-Gaussian Mixture Models classification of merged heart sounds and lung sounds signals

2015 International Conference on High Performance Computing & Simulation (HPCS) ◽

10.1109/hpcsim.2015.7237053 ◽

2015 ◽

Author(s):

Pedro Mayorga ◽

Daniela Ibarra ◽

Vesna Zeljkovic ◽

Christopher Druzgalski

Keyword(s):

Mixture Models ◽

Hidden Markov ◽

Gaussian Mixture Models ◽

Gaussian Mixture ◽

Heart Sounds ◽

Lung Sounds ◽

Mel Frequency Cepstral Coefficients ◽

Cepstral Coefficients

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Automatic Genre Classification of TV Programmes Using Gaussian Mixture Models and Neural Networks

18th International Conference on Database and Expert Systems Applications (DEXA 2007) ◽

10.1109/dexa.2007.92 ◽

2007 ◽

Author(s):

Maurizio Montagnuolo ◽

Alberto Messina

Keyword(s):

Neural Networks ◽

Mixture Models ◽

Gaussian Mixture Models ◽

Gaussian Mixture ◽

Genre Classification

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Classification of Facial Images Using Gaussian Mixture Models

Advances in Multimedia Information Processing — PCM 2001 - Lecture Notes in Computer Science ◽

10.1007/3-540-45453-5_93 ◽

2001 ◽

pp. 724-731

Author(s):

Pin Liao ◽

Wen Gao ◽

Li Shen ◽

Xilin Chen ◽

Shiguang Shan ◽

...

Keyword(s):

Mixture Models ◽

Gaussian Mixture Models ◽

Gaussian Mixture ◽

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Unsupervised classification of remotely sensed images using Gaussian mixture models and particle swarm optimization

2010 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2010.5653855 ◽

2010 ◽

Author(s):

Caglar Ari ◽

Selim Aksoy

Keyword(s):

Particle Swarm Optimization ◽

Mixture Models ◽

Gaussian Mixture Models ◽

Particle Swarm ◽

Unsupervised Classification ◽

Gaussian Mixture ◽

Remotely Sensed ◽

Swarm Optimization ◽

Remotely Sensed Images

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Large-Scale Feature Selection With Gaussian Mixture Models for the Classification of High Dimensional Remote Sensing Images

IEEE Transactions on Computational Imaging ◽

10.1109/tci.2017.2666551 ◽

2017 ◽

Vol 3 (2) ◽

pp. 230-242 ◽

Author(s):

Adrien Lagrange ◽

Mathieu Fauvel ◽

Manuel Grizonnet

Keyword(s):

Remote Sensing ◽

Feature Selection ◽

Mixture Models ◽

Large Scale ◽

Gaussian Mixture Models ◽

Gaussian Mixture ◽

High Dimensional ◽

Remote Sensing Images ◽

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Classification of outdoor 3D lidar data based on unsupervised Gaussian mixture models

2015 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR) ◽

10.1109/ssrr.2015.7442946 ◽

2015 ◽

Author(s):

Artur Maligo ◽

Simon Lacroix

Keyword(s):

Mixture Models ◽

Gaussian Mixture Models ◽

Gaussian Mixture ◽

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