The volumes of data in information systems are growing drastically. The systems become increasingly complex in trying to handle heterogeneity of ubiquitous components, standards, ...
Sergiy Nikitin, Artem Katasonov, Vagan Y. Terziyan
This paper presents the first systematic empirical study of the particle filter (PF) algorithms for human figure tracking in video. Our analysis and evaluation follows a modula...
The main claim of this paper is that machine learning can help integrate the construction of ontologies and extraction grammars and lead us closer to the Semantic Web vision. The p...
: We present our idea of solving parts of the vision task with an organic computing approach. We have designed a multiagent system (MAS) of many different modules working on differ...
This paper describes the vision of the Collective, a compute utility which runs internet services as well as the highly interactive applications we run on desktop computers today....