This study presents a new asymmetric mixture model for model detection. In this paper, the proposed asymmetric distribution is modeled with multiple Student's-t ...

Abstract—Bayesian detection for the symmetric Gaussian mixture model has recently received great attention for pattern recognition problems.

This study presents a new asymmetric mixture model for model detection based on the variational Bayesian learning, modeled with multiple Student's-t ...

A mixture model based on the symmetric Gaussian distribution that simultaneously treats the feature selection, and the model detection has recently received ...

In our work, we develop nonparametric hierarchical Bayesian models using the Dirichlet and Pitman-Yor processes with asymmetric Gaussian distribution.

It is called a data-generative model because the data can be viewed as being generated by sequentially adding components of the covariance matrix (columns) to ...

This thesis is concerned with the problem of applying an approximate Bayesian learning technique referred to as variational Bayes to different Gaussian latent.

Sep 13, 2020 · Abstract:Finite mixture models, typically Gaussian mixtures, are well known and widely used as model-based clustering.

Variational Inference of Finite Asymmetric Gaussian Mixture Models ... model, Bayesian ... Learning finite Beta-Liouville mixture models via variational Bayes ...

May 31, 2019 · 1 Gaussian Mixture Model. For each observation xn∈RD we have a corresponding latent variable zn comprising a 1-of-K binary vector with ...