Nowadays, computer muscle modelling plays a more and more important role in the threatment of various musculoskeletal diseases. For example, to find the appropriate artificial joint replacement, physicians should know the anatomy and dynamic properties of the specific patient. Various ...

Scanned documents are a rich source of various information that can be processed utilizing a document analysis system. Such a system covers the areas of Machine Learning, Computer Vision and Natural Language Processing. In the thesis, these areas are covered with a foc...

Polygonal mesh sequences with variable connectivity are incredibly versatile dynamic surface representations as they allow a surface to change topology or details to suddenly appear or disappear. This, however, comes at the cost of large storage size. Current compression methods inefficiently...

Symmetry occurs very commonly in real world objects as well as in artificially created geometric models. The knowledge about symmetry of a given object can be very useful in many applications in computer graphics and geometry processing, such as compression, object alignment, symmetric&...

In this article, we test the hypothesis that computer science papers asking questions (i.e., those with a question mark at the end of their title) are cited more frequently than those that do not have this property. To this end, we analyze a data set of almost t...

Symmetry occurs very commonly in real world objects as well as in artificially createdgeometric models. The knowledge about symmetry of a given object can be very useful inmany applications in computer graphics and geometry processing, such as compression,object alignment, symmetric editing ...

Computational systems use natural language for communication with humans moreoften in the last years. This work summarises state-of-the-art approaches in thefield of generative models, especially in the text domain. It offers a complex study ofspecific problems known from this domain and rel...

The dissertation thesis proposes a new method of using an artificial conversationalenti(later also dialogue system or chatbot) influenced by information or informationfusion. This new method could potentially serve various purposes of use like fitnessand well-being support, mental health support,...

Natural language processing (NLP) became an essential part of the artificial in-telligence field that is used daily in industry and by millions of people. Sentimentanalysis as a part of NLP is no exception. Most of research in sentiment anal...

Project Management (PM) and Software Process Improvement (SPI) are complex activities demanding decisions which are not clear-cut even when using a defined pro- cess based on best practices proven as beneficial to product quality and project suc- cess. This is due to s...

A finding of path is an important task in many research areas and it is a common problem solved in a wide range of applications. New problems of finding path appear and complex problems persist, such as a real-time plan- ning of paths for huge crow...

This report presents research in several tasks of the natural language processing, namely optical character recognition, text categorization and dialogue act recognition. The report is focused on modern deep neural network classifiers, which are first introduced theoretically with the support of&...

During recent years, there have been a lot of research in the area of Natural Language Processing (NLP) related to the sentiment analysis. Stance detection goes even further and tries to detect whether the author of the text is in favor or against a given target. The...

Shape characteristics play an important part in computer graphics. They help us to better understand various properties of geometrical objects. One of the most important shape characteristics is curvature. However, the curvature itself is not always enough and other characteristics&#...

This work summarizes problematic about image segmentation used on laryngoscopical data taken from High Speed Video. There are described most used published method of automatic segmentation and also a new method is introduced. Descriptions of preprocessing and postprocessing methods are also...

Electroencephalography (EEG) is a popular technique used for example in diagnostics of diseases, sleep monitoring and neurorehabilitations. Due to increasing mobility and decreasing price of EEG measuring devices EEG and ERP (event related potential) techniques have become more widespread also in...