We present an ensemble learning approach that achieves accurate predictions from arbitrarily partitioned data. The partitions come from the distributed processing requirements of ...
Larry Shoemaker, Robert E. Banfield, Lawrence O. H...
Distributed sensor networks are highly prone to accidental errors and malicious activities, owing to their limited resources and tight interaction with the environment. Yet only a...
Claudio Basile, Meeta Gupta, Zbigniew Kalbarczyk, ...
As part of a National Science Foundation-funded study, we analyze data from a 2002 Midwest urban random sample survey (n = 167 adults) of differential access to and uses of comput...
A recent area of significant progress in speaker recognition is the use of high level features—idiolect, phonetic relations, prosody, discourse structure, etc. A speaker not on...
William M. Campbell, Joseph P. Campbell, Douglas A...
Abstract In this study we set to investigate visual attention properties of freely behaving barn owls using a miniature wireless camera attached to their heads. The tubular eye str...
Shay Ohayon, Wolf Harmening, Hermann Wagner, Ehud ...