We visualize the structure of sections of the World Wide Web by constructing graphical representations in 3D hyperbolic space. The felicitous property that hyperbolic space has â€...
This paper presents an unsupervised learning algorithm that can derive the probabilistic dependence structure of parts of an object (a moving human body in our examples) automatic...
With the growing importance of model-driven development, the ability of transforming models into well-defined semantic domains becomes a key to automated code generation or verifi...
Searching for optimal ways in a network is an important task in multiple application areas such as social networks, co-citation graphs or road networks. In the majority of applicat...
— In this paper we present an automated support for software model evolution using a formal language constructs. For this, we extended Object Constraint Language (OCL) with actio...