Recently, a reconfigurable and biologically inspired paradigm based on network-on-chip (NoC) and spiking neural networks (SNNs) has been proposed as a new method of realising an ef...
Snaider Carrillo, Jim Harkin, Liam McDaid, Sandeep...
In this paper, we present a temporal candidate generation scheme that can be applied to motion estimators in Scalable Video Codecs (SVCs). For bidirectional motion estimation, usu...
Marijn J. H. Loomans, Cornelis J. Koeleman, Peter ...
We present a novel approach to HDR (high-dynamic-range) image fusion that copes with image blur degradation often present in longexposed images. The proposed approach can deal wit...
: Patent classification is a large scale hierarchical text classification (LSHTC) task. Though comprehensive comparisons, either learning algorithms or feature selection strategies...
Abstract--Today's molecular biology is confronted with enormous amounts of data, generated by new high-throughput technologies, along with an increasing number of biological m...