Compressed sensing allows perfect recovery of sparse signals (or signals sparse in some basis) using only a small number of measurements. The results in the literature have focuse...
Dmitry M. Malioutov, Sujay Sanghavi, Alan S. Wills...
Compressive sensing aims to recover a sparse or compressible signal from a small set of projections onto random vectors; conventional solutions involve linear programming or greed...
Marco F. Duarte, Michael B. Wakin, Richard G. Bara...
—For the sake of maximizing the network lifetime, we propose a novel placement scheme for mobile data collectors in Underwater Acoustic Sensor Networks (UASNs). Our scheme is bas...
Test-case prioritization is a typical scenario of regression testing, which plays an important role in software maintenance. With the popularity of Web Services, integrating Web S...
Boolean satisfiability (SAT) finds a wide range of practical applications, including Artificial Intelligence and, more recently, Bioinformatics. Although encoding some combinat...