Clustering has been one of the most widely studied topics in data mining and k-means clustering has been one of the popular clustering algorithms. K-means requires several passes ...
Software teams should follow a well defined goal and keep their work focused. Work fragmentation is bad for efficiency and quality. In this paper we empirically investigate the re...
Martin Pinzger, Nachiappan Nagappan, Brendan Murph...
Many genomic sequences and, more generally, (multivariate) time series display tremendous variability. However, often it is reasonable to assume that the sequence is actually gene...
Methods for node localisation in sensor networks usually rely upon the measurement of received strength, time-of-arrival, and/or angle-of-arrival of an incoming signal. In this pap...
—This paper proposes a new preprocessing scheme for rate-one quasi-orthogonal space-time block code (QO-STBC), which requires no channel state information at the transmitter. We ...