This paper presents a content-dependent and configurable framework for the network processing of documents. Like existing compound document frameworks, it enables an enriched docu...
We address the problem of describing the mean object for a set of planar shapes in the case that the considered dissimilarity measures are semi-metrics, i.e. in the case that the t...
The design of inference algorithms for discrete-valued Markov Random Fields constitutes an ongoing research topic in computer vision. Large state-spaces, none-submodular energy-fun...
This paper presents a framework for building network protocols for migrating mobile agents over a network. The framework allows network protocols for agent migration to be naturall...
Secret sharing algorithms have been used for intrusion tolerance, which ensure the confidentiality, integrity and availability of critical information. However, dynamically changi...