Complex embedded systems consist of hardware and software components from different domains, such as control and signal processing, many of them supplied by different IP vendors. ...
As heterogeneous parallel systems become dominant, application developers are being forced to turn to an incompatible mix of low level programming models (e.g. OpenMP, MPI, CUDA, ...
Heterogeneous embedded systems, where configurable or application specific hardware devices (FPGAs and ASICs) are used alongside traditional processors, are becoming more and more...
The problem of document classification considers categorizing or grouping of various document types. Each document can be represented as a bag of words, which has no straightforw...
In this paper, we propose a post randomization technique to learn a Bayesian network (BN) from distributed heterogeneous data, in a privacy sensitive fashion. In this case, two or ...