Boosting is a general method for improving the accuracy of learning algorithms. We use boosting to construct improved privacy-preserving synopses of an input database. These are da...
Ubiquitous Knowledge Discovery is a new research area at the intersection of machine learning and data mining with mobile and distributed systems. In this paper the main character...
In this paper, we present an approach for identity and access management (IAM) in the context of (cross-organizational) serviceoriented architectures (SOA). In particular, we deļ¬...
Waldemar Hummer, Patrick Gaubatz, Mark Strembeck, ...
Structured peer-to-peer overlay networks are now an established paradigm for implementing a wide range of distributed services. While the problem of maintaining these networks in ...
Surface reconstruction from unorganized sample points is an important problem in computer graphics, computer aided design, medical imaging and solid modeling. Recently a few algor...