We address the problem of large-scale data integration, where the data sources are unknown at design time, are from autonomous organisations, and may evolve. Experiments are descr...
Fujun Zhu, Mark Turner, Ioannis A. Kotsiopoulos, K...
Current sign language recognition systems are still designed for signer-dependent operation only and thus suffer from the problem of interpersonal variability in production. Appli...
Background: Functional analysis of data from genome-scale experiments, such as microarrays, requires an extensive selection of differentially expressed genes. Under many condition...
With the growing number of programmable processing elements in today's MultiProcessor System-on-Chip (MPSoC) designs, the synergy required for the development of the hardware...
Lei Gao, Kingshuk Karuri, Stefan Kraemer, Rainer L...
In this paper, a novel genetically-inspired visual learning method is proposed. Given the training images, this general approach induces a sophisticated feature-based recognition s...