Abstract: Peer data management systems (PDMS) are a highly dynamic, decentralized infrastructure for large-scale data integration. They consist of a dynamic set of autonomous peers...
Strict consistency of replicated data is infeasible or not required by many distributed applications, so current systems often permit stale replication, in which cached copies of ...
We address the problem of unsupervised learning of complex articulated object models from 3D range data. We describe an algorithm whose input is a set of meshes corresponding to d...
Manual debugging is expensive. And the high cost has motivated extensive research on automated fault localization in both software engineering and data mining communities. Fault l...
In this work we look at combining emerging technologies in programming languages with traditional query processing techniques to provide support for efficient execution of declarat...