The ever growing request for digital information raises the need for content distribution architectures providing high storage capacity, data availability and good performance. Wh...
We present a data and error analysis for semantic role labelling. In a first experiment, we build a generic statistical model for semantic role assignment in the FrameNet paradigm...
This paper explains how higher-order hierarchies can be used to handle the expression problem. The expression is concerned with extending both the set of data structures and the s...
Structured Peer-to-Peer systems are designed for a highly scalable, self organizing, and efficient lookup for data. The key space of the so-called Distributed Hash Tables (DHTs) ...
Simon Rieche, Klaus Wehrle, Leo Petrak, Clemens Wr...
We propose a new strategy to estimate surface normal information from highly noisy sparse data. Our approach is based on a tensor field morphologically adapted to infer normals. I...
Marcelo Bernardes Vieira, Paulo P. Martins Jr., Ar...