Unsupervised clustering is a powerful technique for understanding multispectral and hyperspectral images, being k-means one of the most used iterative approaches. It is a simple th...
In this paper we present a framework for identifying the test focus and test objectives based on the assumption that automatic information processing based on encoded meaning is th...
Hybrid spacecraft processing platforms that combine radiation-hardened components with commercialgrade COTS components have the potential to dramatically improve performance while ...
Ian A. Troxel, Eric Grobelny, Grzegorz Cieslewski,...
Background: Finishing is the process of improving the quality and utility of draft genome sequences generated by shotgun sequencing and computational assembly. Finishing can invol...
Sergey Koren, Jason R. Miller, Brian Walenz, Grang...
Recent advances in high-speed networks, rapid improvements in microprocessor design, and availability of highly performing clustering software implementations enables cost-effecti...
Ghassan Fadlallah, Michel Lavoie, Louis-A. Dessain...