Data-driven penalty calibration: A case study for Gaussian mixture model selection

ESAIM Probability and Statistics ◽

10.1051/ps/2010002 ◽

2011 ◽

Vol 15 ◽

pp. 320-339 ◽

Cited By ~ 5

Author(s):

Cathy Maugis ◽

Bertrand Michel

Keyword(s):

Model Selection ◽

Gaussian Mixture Model ◽

Mixture Model ◽

Gaussian Mixture ◽

Data Driven

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Galactic double neutron star total masses and Gaussian mixture model selection

Monthly Notices of the Royal Astronomical Society ◽

10.1093/mnras/stz358 ◽

2019 ◽

Vol 485 (2) ◽

pp. 1665-1674 ◽

Cited By ~ 7

Author(s):

David Keitel

Keyword(s):

Neutron Star ◽

Model Selection ◽

Gaussian Mixture Model ◽

Mixture Model ◽

Gaussian Mixture

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Gaussian Mixture Model Selection Using Multiple Random Subsampling with Initialization

Computer Analysis of Images and Patterns - Lecture Notes in Computer Science ◽

10.1007/978-3-319-23192-1_57 ◽

2015 ◽

pp. 678-689 ◽

Cited By ~ 1

Author(s):

Josef V. Psutka

Keyword(s):

Model Selection ◽

Gaussian Mixture Model ◽

Mixture Model ◽

Gaussian Mixture

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Evaluation of natural background levels of high mountain karst aquifers in complex hydrogeological settings. A Gaussian mixture model approach in the Port del Comte (SE, Pyrenees) case study

The Science of The Total Environment ◽

10.1016/j.scitotenv.2020.143864 ◽

2021 ◽

Vol 756 ◽

pp. 143864

Author(s):

I. Herms ◽

J. Jódar ◽

A. Soler ◽

L.J. Lambán ◽

E. Custodio ◽

...

Keyword(s):

Gaussian Mixture Model ◽

Mixture Model ◽

Gaussian Mixture ◽

High Mountain ◽

Karst Aquifers ◽

Natural Background ◽

Background Levels ◽

Mixture Model Approach ◽

Model Approach

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DWT-Domain Watermark Detection Using Gaussian Mixture Model with Automated Model Selection

2009 International Symposium on Computer Network and Multimedia Technology ◽

10.1109/cnmt.2009.5374514 ◽

2009 ◽

Cited By ~ 2

Author(s):

Zhongwei Sun ◽

Jing Ma

Keyword(s):

Model Selection ◽

Gaussian Mixture Model ◽

Mixture Model ◽

Gaussian Mixture

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A non asymptotic penalized criterion for Gaussian mixture model selection

ESAIM Probability and Statistics ◽

10.1051/ps/2009004 ◽

2011 ◽

Vol 15 ◽

pp. 41-68 ◽

Cited By ~ 13

Author(s):

Cathy Maugis ◽

Bertrand Michel

Keyword(s):

Model Selection ◽

Gaussian Mixture Model ◽

Mixture Model ◽

Gaussian Mixture

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Unsupervised Segmentation of Spectral Images with a Spatialized Gaussian Mixture Model and Model Selection

Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles ◽

10.2516/ogst/2014013 ◽

2014 ◽

Vol 69 (2) ◽

pp. 245-259 ◽

Cited By ~ 2

Author(s):

S.X. Cohen ◽

E. Le Pennec

Keyword(s):

Model Selection ◽

Gaussian Mixture Model ◽

Mixture Model ◽

Gaussian Mixture ◽

Unsupervised Segmentation

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Real-Time Data-Driven Gait Phase Detection Using Infinite Gaussian Mixture Model and Parallel Particle Filter

2016 IEEE First International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE) ◽

10.1109/chase.2016.25 ◽

2016 ◽

Cited By ~ 4

Author(s):

Ioannis Papavasileiou ◽

Wenlong Zhang ◽

Song Han

Keyword(s):

Particle Filter ◽

Real Time ◽

Gaussian Mixture Model ◽

Mixture Model ◽

Gaussian Mixture ◽

Data Driven ◽

Phase Detection ◽

Time Data ◽

Real Time Data ◽

Gait Phase

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Model Selection Criterion for Multivariate Bounded Asymmetric Gaussian Mixture Model

10.23919/eusipco54536.2021.9616056 ◽

2021 ◽

Author(s):

Zixiang Xian ◽

Muhammad Azam ◽

Manar Amayri ◽

Nizar Bouguila

Keyword(s):

Model Selection ◽

Gaussian Mixture Model ◽

Mixture Model ◽

Selection Criterion ◽

Gaussian Mixture ◽

Model Selection Criterion

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Data-driven estimation of atomistic support for continuum stress using the Gaussian mixture model

PAMM ◽

10.1002/pamm.201210199 ◽

2012 ◽

Vol 12 (1) ◽

pp. 421-422 ◽

Cited By ~ 1

Author(s):

Sean J. Moran ◽

Manfred H. Ulz

Keyword(s):

Gaussian Mixture Model ◽

Mixture Model ◽

Gaussian Mixture ◽

Data Driven

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Cellular Automata for Studying Historical Spatial Process of Traditional Settlements Based on Gaussian Mixture Model: A Case Study of Qiaoxiang Village in Southern China

International Journal of Architectural Heritage ◽

10.1080/15583058.2018.1553077 ◽

2018 ◽

Vol 14 (4) ◽

pp. 568-588

Author(s):

Xi Yang ◽

Fuan Pu

Keyword(s):

Cellular Automata ◽

Gaussian Mixture Model ◽

Mixture Model ◽

Southern China ◽

Gaussian Mixture ◽

Spatial Process

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