Empirical evidence shows that in favorable situations semi-supervised learning (SSL) algorithms can capitalize on the abundance of unlabeled training data to improve the performan...
In this paper, we proposed dynamic co-allocation schemes for parallel data transfer in a grid environment, which copes up with highly inconsistent network performances of the serv...
Raghuvel S. Bhuvaneswaran, Yoshiaki Katayama, Naoh...
— Many applications of sensor networks require the base station to collect all the data generated by sensor nodes. As a consequence many-to-one communication pattern, referred to...
Meaningfully integrating massive multi-experimental genomic data sets is becoming critical for the understanding of gene function. We have recently proposed methodologies for integ...
We present a toolbox for quickly interpreting and illustrating 2D slices of seismic volumetric reflection data. Searching for oil and gas involves creating a structural overview of...
Daniel Patel, Christopher Giertsen, John Thurmond,...