We develop the notion of normalized information distance (NID) [7] into a kernel distance suitable for use with a Support Vector Machine classifier, and demonstrate its use for an...
This work is designed to contribute to a deeper understanding of the recently proposed Merging SOM (MSOM). Its context model aims at the representation of sequences, an important s...
We propose a self organizing map (SOM) for sequences by extending standard SOM by two features, the recursive update of Sperduti [7] and the hyperbolic neighborhood of Ritter [5]. ...
The paper presents a novel high-level power modeling and estimation framework. The approach is based on a synergic integration of aspect-oriented programming(AOP) and SystemC. Mac...
This submission will provide interested parties with the opportunity to learn more about the FP7 PERIMETER project. Details of the testing and experimental methodologies and the ro...