Abstract. Most existing methods for determining localization of the image feature point are still inefficient in terms of the precision. In the paper, we propose a new algorithm fo...
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
The existing reinforcement learning approaches have been suffering from the curse of dimension problem when they are applied to multiagent dynamic environments. One of the typical...
Abstract. Massive data streams of positional updates become increasingly difficult to manage under limited memory resources, especially in terms of providing near real-time respons...
Michalis Potamias, Kostas Patroumpas, Timos K. Sel...
Estimating the paths that moving objects can take through the fields of view of possibly non-overlapping cameras, also known as their activity topology, is an important step in t...