Distributed data mining (DDM) is the semi-automatic pattern extraction of distributed data sources. The next generation of the data mining studies will be distributed data mining ...
Ezendu Ifeanyi Ariwa, Mohamed B. Senousy, Mohamed ...
The problem of jointly detecting multiple objects and estimating their states from image observations is formulated in a Bayesian framework by modeling the collection of states as ...
Ba-Ngu Vo, Ba-Tuong Vo, Nam-Trung Pham, David Sute...
—In this paper we present C2Cfs - a decentralized collective caching architecture for distributed filesystems. C2Cfs diverges from the traditional client-server model and advoca...
In his article entitled "From Play-In Scenarios to Code: An Achievable Dream", David Harel presented a development schema that makes it possible to go from high-level us...
Legacy systems provide services that remain useful beyond the means of the technology in which they were originally implemented. Our Legacy Wrapper tool packages the services of a...