Feature selection for pattern classification with Gaussian mixture models: A new objective criterion

Pattern Recognition Letters ◽

10.1016/0167-8655(96)00047-5 ◽

1996 ◽

Vol 17 (8) ◽

pp. 803-809 ◽

Author(s):

S. Krishnan ◽

K. Samudravijaya ◽

P.V.S. Rao

Keyword(s):

Feature Selection ◽

Mixture Models ◽

Pattern Classification ◽

Gaussian Mixture Models ◽

Gaussian Mixture ◽

Objective Criterion ◽

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Variational Bayesian feature selection for Gaussian mixture models

2004 IEEE International Conference on Acoustics, Speech, and Signal Processing ◽

10.1109/icassp.2004.1326035 ◽

2004 ◽

Author(s):

F. Valente ◽

C. Wellekens

Keyword(s):

Feature Selection ◽

Mixture Models ◽

Gaussian Mixture Models ◽

Gaussian Mixture ◽

Variational Bayesian ◽

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Feature Selection for Non Gaussian Mixture Models

2007 IEEE Workshop on Machine Learning for Signal Processing ◽

10.1109/mlsp.2007.4414284 ◽

2007 ◽

Author(s):

Sabri Boutemedjet ◽

Nizar Bouguila ◽

Djemel Ziou

Keyword(s):

Feature Selection ◽

Mixture Models ◽

Gaussian Mixture Models ◽

Gaussian Mixture ◽

Selection For ◽

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Variable selection for regression problems using Gaussian mixture models to estimate mutual information

2014 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn.2014.6889561 ◽

2014 ◽

Author(s):

Emil Eirola ◽

Amaury Lendasse ◽

Juha Karhunen

Keyword(s):

Mutual Information ◽

Variable Selection ◽

Mixture Models ◽

Gaussian Mixture Models ◽

Gaussian Mixture ◽

Regression Problems ◽

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Simultaneous high-dimensional clustering and feature selection using asymmetric Gaussian mixture models

Image and Vision Computing ◽

10.1016/j.imavis.2014.10.011 ◽

2015 ◽

Vol 34 ◽

pp. 27-41 ◽

Author(s):

Tarek Elguebaly ◽

Nizar Bouguila

Keyword(s):

Feature Selection ◽

Mixture Models ◽

Gaussian Mixture Models ◽

Gaussian Mixture ◽

High Dimensional ◽

High Dimensional Clustering

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Gaussian Mixture Models and Model Selection for [18F] Fluorodeoxyglucose Positron Emission Tomography Classification in Alzheimer’s Disease

PLoS ONE ◽

10.1371/journal.pone.0122731 ◽

2015 ◽

Vol 10 (4) ◽

pp. e0122731 ◽

Author(s):

Rui Li ◽

Robert Perneczky ◽

Igor Yakushev ◽

Stefan Förster ◽

Alexander Kurz ◽

...

Keyword(s):

Positron Emission Tomography ◽

Model Selection ◽

Mixture Models ◽

Gaussian Mixture Models ◽

Gaussian Mixture ◽

Emission Tomography ◽

Fluorodeoxyglucose Positron Emission Tomography ◽

Positron Emission ◽

Selection For ◽

Fluorodeoxyglucose Positron Emission

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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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Fast Forward Feature Selection of Hyperspectral Images for Classification With Gaussian Mixture Models

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ◽

10.1109/jstars.2015.2441771 ◽

2015 ◽

Vol 8 (6) ◽

pp. 2824-2831 ◽

Author(s):

Mathieu Fauvel ◽

Clement Dechesne ◽

Anthony Zullo ◽

Frederic Ferraty

Keyword(s):

Feature Selection ◽

Mixture Models ◽

Gaussian Mixture Models ◽

Gaussian Mixture ◽

Hyperspectral Images ◽

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A survey of feature selection methods for Gaussian mixture models and hidden Markov models

Artificial Intelligence Review ◽

10.1007/s10462-017-9581-3 ◽

2017 ◽

Vol 52 (3) ◽

pp. 1739-1779 ◽

Author(s):

Stephen Adams ◽

Peter A. Beling

Keyword(s):

Feature Selection ◽

Hidden Markov Models ◽

Mixture Models ◽

Markov Models ◽

Hidden Markov ◽

Gaussian Mixture Models ◽

Gaussian Mixture ◽

Selection Methods

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Discriminative model selection for Gaussian mixture models for classification

The First Asian Conference on Pattern Recognition ◽

10.1109/acpr.2011.6166658 ◽

2011 ◽

Author(s):

Xiao-Hua Liu ◽

Cheng-Lin Liu

Keyword(s):

Model Selection ◽

Mixture Models ◽

Gaussian Mixture Models ◽

Gaussian Mixture ◽

Discriminative Model ◽

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Variational Inference of Infinite Generalized Gaussian Mixture Models with Feature Selection

2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC) ◽

10.1109/smc42975.2020.9283007 ◽

2020 ◽

Author(s):

Srikanth Amudala ◽

Samr Ali ◽

Nizar Bouguila

Keyword(s):

Feature Selection ◽

Mixture Models ◽

Gaussian Mixture Models ◽

Gaussian Mixture ◽

Variational Inference

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