Person re-identification (re-id) suffers from a serious occlusion problem when applied to
crowded public places. In this paper, we propose to retrieve a full-body person image by …

This article describes using of new approach to automatic classification of big data records
in Be and B [e] stars spectra in large astrophysical archives. With enormous amount of these …

Astrophysical databases have used proprietary formats (especially the FITS format) to
represent measured data and related metadata. The design of the FITS format was …

Artificial intelligence and its subparts (like evolutionary algorithms, machine learning, ...,…)
are search methods that can be used for solving optimization problems. A particular class of …

Be stars are characterized by prominent emission lines in their spectrum. In the past
research has attention been given to creation a feature extraction method for classification of …

In this paper are used evolutionary algorithms on models synthesis, based on real
astrophysical data sets. Data used in this paper are from a robotic telescope, Czech …

This chapter discusses how to generate a network reflecting the behavior of selected
evolutionary and swarm algorithms as much as possible to make a thorough analysis of …

In the past few years, we have observed a trend of increasing cooperation between
computer science and other empirical sciences such as physics, biology, or medical fields …

In the past decade, automated astronomical observatories collected huge amounts of data
which can no longer be explored by astronomers individually. In our case, we deal with …