Network Multimedia data also need to be encrypted to protect private content and access control. Considering performance constraints and embedded system issues, many hardware solu...
Abstract. A new approach for acquiring knowledge of parallel applications regarding resource usage and for searching similarity on workload traces is presented. The main goal is to...
Abstract: This paper introduces the Internet Operating Platform (IOP), an enterprise framework for large scale software development. In addition to obeying to important standards (...
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: Quantitative knowledge of intracellular fluxes is important for a comprehensive characterization of metabolic networks and their functional operation. In contrast to d...