Growth in the complexity of computing systems, in the dynamism of the environments they operate in, and the need for timely adaptations as conditions change, now pose significant...
Building adaptive constraint solvers is a major challenge in constraint programming. An important line of research towards this goal is concerned with ways to dynamically adapt th...
Abstract. This paper proposes a solution for the automatic detection and tracking of human motion in image sequences. Due to the complexity of the human body and its motion, automa...
For their usage in the semantic web, valid ontologies are required for a given domain. Here we focus on ontologies represented as concept maps (semantic nets). For one and the sam...
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...