Many parallel scientific applications need high-performance I/O. Unfortunately, end-to-end parallel-I/O performance has not been able to keep up with substantial improvements in p...
Restricted Boltzmann Machines (RBMs) — the building block for newly popular Deep Belief Networks (DBNs) — are a promising new tool for machine learning practitioners. However,...
Sang Kyun Kim, Lawrence C. McAfee, Peter L. McMaho...
Background: Protein sumoylation is an essential dynamic, reversible post translational modification that plays a role in dozens of cellular activities, especially the regulation o...
We propose a new genre of overlay network for disseminating information from popular but resource constrained sources. We call this communication primitive as Latency Gradated Ove...
Linear adaptive filters are often used for Acoustic Echo Cancellation (AEC) but sometimes fail to perform well in notebook computers and inexpensive telephony devices. Low-qualit...
Diego A. Bendersky, Jack W. Stokes, Henrique S. Ma...