In medical research, being able to justify decisions is generally as important as taking the right ones. Interpretability is then one of the chief characteristics a learning algor...
Partial reconfiguration (PR) reveals many opportunities for integration into FPGA design for potential system optimizations such as reduced area, increased performance, and increa...
We present a novel linear clustering framework (DIFFRAC) which relies on a linear discriminative cost function and a convex relaxation of a combinatorial optimization problem. The...
We present a technique for synthesizing power- as well as area-optimized circuits from hierarchical data flow graphs under throughput constraints. We allow for the use of complex...
Current algorithms cannot be used optimally in (semi)automatic ontology matching tasks as envisioned by the Semantic Web community, mainly because of the inherent dependency betwee...