The stochastic discrimination (SD) theory considers learning as building models of uniform coverage over data distributions. Despite successful trials of the derived SD method in s...
Traditional deployments of wireless sensor networks (WSNs) rely on static basestations to collect data. For applications with highly spatio-temporal and dynamic data generation, su...
Petri Nets are a formal tool for studying systems that are concurrent, asynchronous, distributed, parallel, nondeterministic, and/or stochastic. They were used in a number of real-...
In this paper we investigate P systems whose compartments contain sets of symbolobjects rather than multisets of objects, as it is common in membrane computing. If the number of m...
This paper presents efficient image-based rendering techniques used in the context of an architectural walkthrough system. Portals (doors and windows) are rendered by warping laye...
Voicu Popescu, Anselmo Lastra, Daniel G. Aliaga, M...