The assessment of energy expenditure in real life is of great importance...
The impact of the maximally possible batch size (for the better runtime)...
Preparation of high-quality datasets for the urban scene understanding i...
The purpose of this study is to present two new architectures of the
com...
Automatic recognition of the historical letters (XI-XVIII centuries) car...
Machine learning techniques are presented for automatic recognition of t...
Several statistical and machine learning methods are proposed to estimat...
Semantic image segmentation is one the most demanding task, especially f...
The results of chest X-ray (CXR) analysis of 2D images to get the
statis...
The new method is proposed to monitor the level of current physical load...
In this paper, we discuss the formalized approach for generating and
est...
In this progress paper the previous results of the single note recogniti...
The basic features of some of the most versatile and popular open source...
Deep learning (deep structured learning, hierarchi- cal learning or deep...
Recently, due to rapid development of information and communication
tech...
In this paper, we discuss the generation of symbols (and alphabets) base...
The basic features of some of the most versatile and popular open source...