Most classification methods are based on the assumption that the data conforms to a stationary distribution. However, the real-world data is usually collected over certain periods...
Hierarchical radiosity with clustering has positioned itself as one of the most efficient algorithms for computing global illumination in non-trivial environments. However, using...
Marc Stamminger, Hartmut Schirmacher, Philipp Slus...
Many types of applications can benefit from flexible and open middleware. CORBA is an emerging middleware standard for Object Request Brokers (ORBs) that simplifies the developmen...
Douglas C. Schmidt, David L. Levine, Chris Clevela...
We present a general approach to model selection and regularization that exploits unlabeled data to adaptively control hypothesis complexity in supervised learning tasks. The idea ...
- A modified version of the datagram capacity assignment of the FODA access scheme, named FODA/IBEA, is briefly presented. The main difference from the previous version (besides th...