Discriminant analysis and density estimation on the finite d-dimensional grid

The mixture density model has been extensively studied in the field of statistical pattern recognition. And the EM algorithm has been well known as a convenient and efficient tool to iteratively compute the maximum likelihood estimates of mixture model ...

In this paper, a parametric mixture density model is employed to be the source prior in blind source separation (BSS). A strict lower bound on the source prior is derived by using a variational method, which naturally enables the intractable ...

Robust S-estimation is proposed for multivariate Gaussian mixture models generalizing the work of Hastie and Tibshirani (J. Roy. Statist. Soc. Ser. B 58 (1996) 155). In the case of Gaussian Mixture models, the unknown location and scale parameters are ...