A kurtosis-based dynamic approach to Gaussian mixture modeling

Vlassis and Likas : a Kurtosis - Based Dynamic Approach to Gaussian Mixture Modeling

| We address the problem of probability density function estimation using a Gaussian mixture model updated with the EM algorithm. To deal with the case of an unknown number of mixing kernels, we deene a new measure for Gaussian mixtures, called total kurtosis, which is based on the weighted sample kurtoses of the kernels. This measure provides an indication of how well the Gaussian mixture ts t...

Vlassis and Likas : a Kurtosis - Based Dynamic Approach to Gaussian Mixture Modeling 3

| We address the problem of probability density function estimation using a Gaussian mixture model updated with the expectation-maximization (EM) algorithm. To deal with the case of an unknown number of mixing kernels , we deene a new measure for Gaussian mixtures, called total kurtosis, which is based on the weighted sample kur-toses of the kernels. This measure provides an indication of how w...

A multivariate kurtosis-based approach to Gaussian mixture modeling

Evaluation and Application of the Gaussian-Log Gaussian Spatial Model for Robust Bayesian Prediction of Tehran Air Pollution Data

Air pollution is one of the major problems of Tehran metropolis. Regarding the fact that Tehran is surrounded by Alborz Mountains from three sides, the pollution due to the cars traffic and other polluting means causes the pollutants to be trapped in the city and have no exit without appropriate wind guff. Carbon monoxide (CO) is one of the most important sources of pollution in Tehran air. The...

A two-stage approach using Gaussian mixture models and higher-order statistics for a classification of normal and pathological voices

A two-stage classifier is used to improve the classification performance between normal and pathological voices. A primary classification between normal and pathological voices is achieved by the Gaussian mixture model (GMM) log-likelihood scores. For samples that do not meet the thresholds for normal or disordered voice in the GMM, the final decision is made by a higher-order statistics (HOS)-...