The theory of compressed sensing shows that samples in the form of random projections are optimal for recovering sparse signals in high-dimensional spaces (i.e., finding needles ...
Rui M. Castro, Jarvis Haupt, Robert Nowak, Gil M. ...
The interest in objective quality assessment have significantly increased over the past decades. Several objective quality metrics have been proposed and made publicly available,...
Pseudo-periodicity is one of the basic job arrival patterns on data-intensive clusters and Grids. In this paper, a signal decomposition methodology called matching pursuit is appl...
Hui Li, Richard Heusdens, Michael Muskulus, Lex Wo...
This paper describes the basis of citation auctions that are introduced as a new approach to selecting scientific papers for publication. Unlike the state of the art in paper sele...
Service-centric computing is developing and maturing rapidly as a paradigm for developing distributed systems. In recent years there has been a rapid growth in the number and type...
James Walkerdine, John Hutchinson, Peter Sawyer, G...