We study the distributed sampling and centralized reconstruction of two correlated signals, modeled as the input and output of an unknown sparse filtering operation. This is akin ...
Ali Hormati, Olivier Roy, Yue M. Lu, Martin Vetter...
Thanks to recent developments on automatic generation of metadata and interoperability between repositories, the production, management and consumption of learning object metadata ...
Powerful branch predictors along with a large branch target buffer (BTB) are employed in superscalar processors for instruction-level parallelism exploitation. However, the large ...
Many scalable data mining tasks rely on active learning to provide the most useful accurately labeled instances. However, what if there are multiple labeling sources (`oracles...
BACKGROUND: Defect predictors learned from static code measures can isolate code modules with a higher than usual probability of defects. AIMS: To improve those learners by focusi...