Bounded multivariate generalized Gaussian mixture model using ICA and IVA-Reference-Cited by-同舟云学术

Bounded multivariate generalized Gaussian mixture model using ICA and IVA

Published:2023-02-24 Issue:3 Volume:26 Page:1223-1252
ISSN:1433-7541
Container-title:Pattern Analysis and Applications
language:en
Short-container-title:Pattern Anal Applic

Author:

Algumaei Ali,Azam Muhammad,Najar Fatma,Bouguila Nizar^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition

Link

https://link.springer.com/content/pdf/10.1007/s10044-023-01148-w.pdf

Reference70 articles.

1. Ian HW, Eibe F (2005) Data Mining: Practical machine learning tools and techniques. Morgan Kaufmann Publishers

2. Elguebaly T, Bouguila N (2011) Bayesian learning of finite generalized Gaussian mixture models on images. Signal Process 91(4):801–820

3. Sefidpour A, Bouguila N (2012) Spatial color image segmentation based on finite non-Gaussian mixture models. Expert Syst Appl 39(10):8993–9001

4. McLachlan GJ, Lee SX, Rathnayake SI (2019) Finite mixture models. Annual Rev stat Appl 6:355–378

5. Allili MS, Bouguila N, Ziou D (2008) Finite general Gaussian mixture modeling and application to image and video foreground segmentation. J Electron Imaging 17(1):013005

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