Technology trends have led to the advent of multi-core chips in the form of both general-purpose chip multiprocessors (CMPs) and embedded multi-processor systems-on-a-chip (MPSoCs...
Standard detection algorithms for nonlinearity linkage fail when applied to typical problems in the analysis of financial time-series data. We explain how this failure arises whe...
Abstract. The underground malware-based economy is flourishing and it is evident that the classical ad-hoc signature detection methods are becoming insufficient. Malware authors ...
: In many application areas like e-science and data-warehousing detailed information about the origin of data is required. This kind of information is often referred to as data pro...
We propose a new transductive learning algorithm for learning optimal linear representations that utilizes unlabeled data. We pose the problem of learning linear representations a...