mixtures of factor analyzers Latest Research Papers

2020 ◽

Author(s):

Bin Zhao ◽

Johannes R. Sveinsson ◽

Magnus O. Ulfarsson ◽

Jocelyn Chanussot

Keyword(s):

Spectral Correlation ◽

Mixtures Of Factor Analyzers

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Hyperspectral Images Denoising Based on Mixtures of Factor Analyzers

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss39084.2020.9323148 ◽

2020 ◽

Author(s):

Bin Zhao ◽

Johannes R. Sveinsson ◽

Magnus O. Ulfarsson ◽

Jocelyn Chanussot

Keyword(s):

Hyperspectral Images ◽

Mixtures Of Factor Analyzers

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Mixtures of factor analyzers with scale mixtures of fundamental skew normal distributions

Advances in Data Analysis and Classification ◽

10.1007/s11634-020-00420-9 ◽

2020 ◽

Author(s):

Sharon X. Lee ◽

Tsung-I Lin ◽

Geoffrey J. McLachlan

Keyword(s):

Normal Distributions ◽

Scale Mixtures ◽

Skew Normal Distributions ◽

Mixtures Of Factor Analyzers ◽

Skew Normal

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Mixtures of factor analyzers with covariates for modeling multiply censored dependent variables

Statistical Papers ◽

10.1007/s00362-020-01177-1 ◽

2020 ◽

Author(s):

Wan-Lun Wang ◽

Luis M. Castro ◽

Wan-Chen Hsieh ◽

Tsung-I Lin

Keyword(s):

Dependent Variables ◽

Mixtures Of Factor Analyzers

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Semi-Supervised Mixtures of Factor Analyzers Feature Extraction for Hyperspectral Images

IEEE Geoscience and Remote Sensing Letters ◽

10.1109/lgrs.2020.3020498 ◽

2020 ◽

pp. 1-5

Author(s):

Bin Zhao ◽

Johannes R. Sveinsson ◽

Magnus O. Ulfarsson ◽

Jocelyn Chanussot

Keyword(s):

Feature Extraction ◽

Hyperspectral Images ◽

Mixtures Of Factor Analyzers

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Model-based clustering of censored data via mixtures of factor analyzers

Computational Statistics & Data Analysis ◽

10.1016/j.csda.2019.06.001 ◽

2019 ◽

Vol 140 ◽

pp. 104-121 ◽

Cited By ~ 3

Author(s):

Wan-Lun Wang ◽

Luis M. Castro ◽

Victor H. Lachos ◽

Tsung-I Lin

Keyword(s):

Censored Data ◽

Model Based Clustering ◽

Model Based ◽

Mixtures Of Factor Analyzers

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(Semi-) Supervised Mixtures of Factor Analyzers and Deep Mixtures of Factor Analyzers Dimensionality Reduction Algorithms For Hyperspectral Images Classification

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2019.8898932 ◽

2019 ◽

Author(s):

Bin Zhao ◽

Johannes R. Sveinsson ◽

Magnus O. Ulfarsson ◽

Jocelyn Chanussot

Keyword(s):

Dimensionality Reduction ◽

Hyperspectral Images ◽

Mixtures Of Factor Analyzers

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Mixtures of Factor Analyzers and Deep Mixtures of Factor Analyzers Dimensionality Reduction Algorithms For Hyperspectral Images Classification

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2019.8898002 ◽

2019 ◽

Cited By ~ 1

Author(s):

Bin Zhao ◽

Magnus O. Ulfarsson ◽

Johannes R. Sveinsson ◽

Jocelyn Chanussot

Keyword(s):

Dimensionality Reduction ◽

Hyperspectral Images ◽

Mixtures Of Factor Analyzers

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A bootstrap‐augmented alternating expectation‐conditional maximization algorithm for mixtures of factor analyzers

Stat ◽

10.1002/sta4.243 ◽

2019 ◽

Vol 8 (1) ◽

Author(s):

Phillip Shreeves ◽

Jeffrey L. Andrews

Keyword(s):

Mixtures Of Factor Analyzers ◽

Expectation Conditional Maximization Algorithm

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Overfitting Bayesian mixtures of factor analyzers with an unknown number of components

Computational Statistics & Data Analysis ◽

10.1016/j.csda.2018.03.007 ◽

2018 ◽

Vol 124 ◽

pp. 220-234 ◽

Cited By ~ 2

Author(s):

Panagiotis Papastamoulis

Keyword(s):

Number Of Components ◽

Unknown Number ◽

Mixtures Of Factor Analyzers

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mixtures of factor analyzers
Recently Published Documents

TOTAL DOCUMENTS

H-INDEX

Local Spatial-Spectral Correlation Based Mixtures of Factor Analyzers for Hyperspectral Denoising

Hyperspectral Images Denoising Based on Mixtures of Factor Analyzers

Mixtures of factor analyzers with scale mixtures of fundamental skew normal distributions

Mixtures of factor analyzers with covariates for modeling multiply censored dependent variables

Semi-Supervised Mixtures of Factor Analyzers Feature Extraction for Hyperspectral Images

Model-based clustering of censored data via mixtures of factor analyzers

(Semi-) Supervised Mixtures of Factor Analyzers and Deep Mixtures of Factor Analyzers Dimensionality Reduction Algorithms For Hyperspectral Images Classification

Mixtures of Factor Analyzers and Deep Mixtures of Factor Analyzers Dimensionality Reduction Algorithms For Hyperspectral Images Classification

A bootstrap‐augmented alternating expectation‐conditional maximization algorithm for mixtures of factor analyzers

Overfitting Bayesian mixtures of factor analyzers with an unknown number of components

Export Citation Format

mixtures of factor analyzersRecently Published Documents

TOTAL DOCUMENTS

H-INDEX

Local Spatial-Spectral Correlation Based Mixtures of Factor Analyzers for Hyperspectral Denoising

Hyperspectral Images Denoising Based on Mixtures of Factor Analyzers

Mixtures of factor analyzers with scale mixtures of fundamental skew normal distributions

Mixtures of factor analyzers with covariates for modeling multiply censored dependent variables

Semi-Supervised Mixtures of Factor Analyzers Feature Extraction for Hyperspectral Images

Model-based clustering of censored data via mixtures of factor analyzers

(Semi-) Supervised Mixtures of Factor Analyzers and Deep Mixtures of Factor Analyzers Dimensionality Reduction Algorithms For Hyperspectral Images Classification

Mixtures of Factor Analyzers and Deep Mixtures of Factor Analyzers Dimensionality Reduction Algorithms For Hyperspectral Images Classification

A bootstrap‐augmented alternating expectation‐conditional maximization algorithm for mixtures of factor analyzers

Overfitting Bayesian mixtures of factor analyzers with an unknown number of components

mixtures of factor analyzers
Recently Published Documents