This paper presents optimization techniques that substantially speed up the Growing Neural
Gas (GNG) algorithm. The GNG is an example of the Self-Organizing Map algorithm that is a …

In this paper a framework for representing tactile information in robots is discussed. Control
models exploiting tactile sensing are fundamental in social Human-Robot interaction tasks …

The breakdown of financial markets into sectors provides an intuitive classification for
groups of companies. The allocation of a company to a sector is an expert task, in which the …

The size and complexity of data sets is ever increasing. Clustering, considered the most
important unsupervised learning problem, is used to reveal structures and to identify" …

In this paper a framework for representing tactile information in robots is discussed. Control
models exploiting tactile sensing are fundamental in social Human-Robot interaction tasks …

Recently, various types of robots have been researched and developed for supporting our
life. Also, the perceptual system for the robot is researched. Visual perception includes a lot …

With the enlightenment of the most modern technology intrusion in the domain of
cybercrimes as well as networking are escalating at a gradual speed. It leads to boosting the …

Autonomous navigation in complex continuous spaces often requires the presence of
navigation meshes or other methods of determining traversable paths. At present, many …

Grid cells are neurons in the entorhinal cortex of mammals that are known for their peculiar,
grid-like firing patterns. We developed a generic computational model that describes the …

This paper presents an extension to the growing neural gas (GNG) algorithm that allows to
capture local characteristics of the input space. Using these characteristics clustering …