Hyperspectral image segmentation using the Dirichlet mixture models

2014 22nd Signal Processing and Communications Applications Conference (SIU) ◽

10.1109/siu.2014.6830396 ◽

2014 ◽

Author(s):

Ibrahim Onur Sigirci ◽

Gokhan Bilgin

Keyword(s):

Image Segmentation ◽

Mixture Models ◽

Hyperspectral Image ◽

Dirichlet Mixture

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A Novel Model-Based Approach for Medical Image Segmentation Using Spatially Constrained Inverted Dirichlet Mixture Models

Neural Processing Letters ◽

10.1007/s11063-017-9672-9 ◽

2017 ◽

Author(s):

Wentao Fan ◽

Can Hu ◽

Jixiang Du ◽

Nizar Bouguila

Keyword(s):

Image Segmentation ◽

Mixture Models ◽

Medical Image ◽

Medical Image Segmentation ◽

Model Based ◽

Dirichlet Mixture ◽

Inverted Dirichlet ◽

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Hyperspectral Image Segmentation For Paint Analysis

10.1109/icip42928.2021.9506558 ◽

2021 ◽

Author(s):

Nathan Magro ◽

Alexandra Bonnici ◽

Stefania Cristina

Keyword(s):

Image Segmentation ◽

Hyperspectral Image ◽

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Non-local spatially varying finite mixture models for image segmentation

Statistics and Computing ◽

10.1007/s11222-020-09988-w ◽

2021 ◽

Vol 31 (1) ◽

Author(s):

Javier Juan-Albarracín ◽

Elies Fuster-Garcia ◽

Alfons Juan ◽

Juan M. García-Gómez

Keyword(s):

Image Segmentation ◽

Mixture Models ◽

Finite Mixture Models ◽

Finite Mixture ◽

Non Local ◽

Spatially Varying

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Semisupervised Hyperspectral Image Segmentation Using Multinomial Logistic Regression With Active Learning

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2010.2060550 ◽

2010 ◽

Author(s):

Jun Li ◽

José M. Bioucas-Dias ◽

Antonio Plaza

Keyword(s):

Logistic Regression ◽

Image Segmentation ◽

Active Learning ◽

Hyperspectral Image ◽

Multinomial Logistic Regression

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Color Image Segmentation Through Unsupervised Gaussian Mixture Models

Advances in Artificial Intelligence - IBERAMIA-SBIA 2006 - Lecture Notes in Computer Science ◽

10.1007/11874850_19 ◽

2006 ◽

pp. 149-158 ◽

Author(s):

Antonio Peñalver ◽

Francisco Escolano ◽

Juan M. Sáez

Keyword(s):

Image Segmentation ◽

Mixture Models ◽

Color Image ◽

Gaussian Mixture Models ◽

Gaussian Mixture ◽

Color Image Segmentation

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Big Data Analytics for Intrusion Detection System: Statistical Decision-Making Using Finite Dirichlet Mixture Models

Data Analytics and Decision Support for Cybersecurity - Data Analytics ◽

10.1007/978-3-319-59439-2_5 ◽

2017 ◽

pp. 127-156 ◽

Author(s):

Nour Moustafa ◽

Gideon Creech ◽

Jill Slay

Keyword(s):

Decision Making ◽

Big Data ◽

Intrusion Detection ◽

Mixture Models ◽

Data Analytics ◽

Detection System ◽

Big Data Analytics ◽

Statistical Decision ◽

Dirichlet Mixture ◽

Statistical Decision Making

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Self-Growing Regularized Gaussian Mixture Models for Image Segmentation

Proceedings of the 2012 International Conference on Communication, Electronics and Automation Engineering - Advances in Intelligent Systems and Computing ◽

10.1007/978-3-642-31698-2_82 ◽

2013 ◽

pp. 577-582

Author(s):

Tao Guan ◽

Hongxia Wang ◽

Yan Wang

Keyword(s):

Image Segmentation ◽

Mixture Models ◽

Gaussian Mixture Models ◽

Gaussian Mixture

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Super-dirichlet mixture models using differential line spectral frequencies for text-independent speaker identification

10.21437/interspeech.2011-60 ◽

2011 ◽

Author(s):

Zhanyu Ma ◽

Arne Leijon

Keyword(s):

Mixture Models ◽

Speaker Identification ◽

Differential Line ◽

Dirichlet Mixture

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Variational Learning for Finite Generalized Inverted Dirichlet Mixture Models with a Component Splitting Approach

2019 IEEE 28th International Symposium on Industrial Electronics (ISIE) ◽

10.1109/isie.2019.8781300 ◽

2019 ◽

Author(s):

Kamal Maanicshah ◽

Nizar Bouguila ◽

Wentao Fan

Keyword(s):

Mixture Models ◽

Dirichlet Mixture ◽

Inverted Dirichlet ◽

Variational Learning

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Fuzzy Based Hyperspectral Image Segmentation Using Subpixel Detection[

International Journal of Information Sciences and Techniques ◽

10.5121/ijist.2014.4322 ◽

2014 ◽

Vol 4 (3) ◽

pp. 179-188

Author(s):

Veera SenthilKumar.G ◽

Dhivya. M ◽

Sivasangari. R ◽

Suganya. V

Keyword(s):

Image Segmentation ◽

Hyperspectral Image

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