# Inference and mixture modeling with the Elliptical Gamma Distribution

@article{Hosseini2014InferenceAM, title={Inference and mixture modeling with the Elliptical Gamma Distribution}, author={Reshad Hosseini and Suvrit Sra and Lucas Theis and Matthias Bethge}, journal={Comput. Stat. Data Anal.}, year={2014}, volume={101}, pages={29-43} }

## 5 Citations

### A novel automated magnetic resonance image segmentation approach based on elliptical gamma mixture model for breast lumps detection

- Computer ScienceInt. J. Imaging Syst. Technol.
- 2019

A novel semisupervised automated segmentation approach for breast magnetic resonance (MR) image on multicore CPU‐GPU systems based on elliptical gamma mixture model (EGMM) with real‐time segmentation performance and computational cost assessed.

### On a class of geodesically convex optimization problems solved via Euclidean MM methods

- Computer Science, MathematicsArXiv
- 2022

The split structure permits the development of Euclidean Majorization-Minorization algorithms that help to bypass the need to compute expensive Riemannian operations such as exponential maps and parallel transport.

### Statistical Learning over Manifolds and its applications in Computer Vision

- Mathematics, Computer Science
- 2018

A novel parametric classification method on Stiefel and Grassmann manifolds is presented and it has been confirmed that this new generalised Bayesian parametric modeling approach measurably improved the classification accuracy.

### Regularized maximum likelihood estimation of covariance matrices of elliptical distributions

- Mathematics, Computer Science
- 2016

This paper will show how regularized estimators can be naturally introduced in the framework of maximum likelihood estimation, and how they can be extended to form robust estimators which can reject outliers.

### Expected Logarithm of Central Quadratic Form and Its Use in KL-Divergence of Some Distributions

- Computer Science, MathematicsEntropy
- 2016

Three different methods for computing the expected logarithm of central quadratic forms are developed: a series method, an integral method and a fast (but inexact) set of methods.

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