Sentence examples for mixtures models with from inspiring English sources

We have implemented speech enhancement using Gaussian mixtures models with sizes 16, 64, and 256 mixtures.

The aim of this work was to optimize the appearance, the centrifuge stability and the permeation of emulsions containing P. umbellata (0.1% 4-nerolidylchatecol). Experimental design was used to study ternary mixtures models with constraints and graphical representation by phase diagrams.

As background model, we used two Gaussian mixture models with shadow detection.

Bayesian mixture models with self-information (entropy) loss were extensively studied in information and coding theory [28,31,34].

Then, we compared existing mixture models with regard to the differences and similarities in their estimation of PD.

We used HTK[22], with some changes in order to replace the usual Gaussian mixture models with the outputs of the MLP.

The proposed method offers an accurate and stable solution for parameter estimation on Gaussian mixture models, with higher likelihood of achieving global optimal minima.

In general, we can classify them into two categories: (i) simple non Gaussian models with heavy tails and (ii) mixture models with hidden variables which result to hierarchical models.

An alternative strategy proposes using mixture models with categorical latent variables in order to identify the latent classes of test takers who differ in their test-taking behavior (Mislevy and Verhelst 1990; Rost 1990).

A framework of using t mixture models with fourteen eigen-decomposed covariance structures for the unsupervised learning of heterogeneous multivariate data with possible missing values is designed and implemented.

We show that the use of statistical finite mixture models with groups of original pixel-scale measurements, at successive spatial scales, offers improved pixel-wise classification accuracy as compared to the commonly used technique of label aggregation.