This study surveys the ordered weighted averaging (OWA) operator literature using a
citation network analysis. The main goals are the historical reconstruction of scientific …

In the field of image analysis, segmentation is one of the most important preprocessing
steps. One way to achieve segmentation is by mean of threshold selection, where each pixel …

This paper explores the use of the Artificial Bee Colony (ABC) algorithm to compute
threshold selection for image segmentation. ABC is an evolutionary algorithm inspired by …

The inclusion of persons with disabilities has always represented an important issue.
Advancements within the field of computer science have enabled the development of …

In this paper, we propose a fusion classification method based on reconstruction error and
normalized distance for palmprint recognition. This method first obtains an approximate …

In this contribution, we introduce a novel approach to combine acoustic information and
emotional point information for a robust automatic recognition of a speaker's emotion. Six …

The paper presents a novel split-and-merge algorithm for hierarchical clustering of Gaussian
mixture models, which tends to improve on the local optimal solution determined by the …

This chapter will present the results of the research and development of speech
technologies for Serbian and other kindred South Slavic languages used in five countries of …

The paper presents a novel precision matrix modeling technique for Gaussian Mixture
Models (GMMs), which is based on the concept of sparse representation. Representation …

The chapter will present the first applications of speech technologies in the countries of
Western Balkans, launched by the Serbian company AlfaNum. The speech technologies for …