Dimensionality reduction techniques aim to transform the high-dimensional data into a
meaningful reduced representation and have been consistently playing a fundamental role …

Gaussian Mixture Models (GMMs) are used in many traditional expert systems and modern
artificial intelligence tasks such as automatic speech recognition, image recognition and …

In this paper, a method of incipient fault diagnosis and amplitude estimation based on
Kullback–Leibler (K–L) divergence is proposed. An incipient fault is usually regarded as the …

A novel similarity measure between Gaussian mixture models (GMMs), based on similarities
between the low-dimensional representations of individual GMM components and obtained …

In this work, we deliver a novel measure of similarity between Gaussian mixture models
(GMMs) by neighborhood preserving embedding (NPE) of the parameter space, that …

Dimensionality reduction has been playing a significant role in many fields such as
recognition, classification, clustering, high-dimensionality data compression. However, due …

Predmet istraživanja ovog rada je istraživanje i eksploatacija mogućnosti da parametri
Gausovih komponenti korišćenih Gaussian mixture modela (GMM) aproksimativno leže na …

Postsocijalističke privrede su početkom devedesetih godina dvadesetog veka započele
tranziciju u kapitalistički sistem i intenzivnije uključivanje u procese globalizacije. Region …