Super-resolution methods aimed to restore the spectrum of an original image above the half sampling frequency. The restoration problem is generally viewed as an inverse problem an...
An energy optimization is proposed that addresses the nontrivial digital contribution to power and impact on performance in high-speed mixed-signal circuits. Parallel energy and b...
This paper introduces a novel machine learning model called multiple instance ranking (MIRank) that enables ranking to be performed in a multiple instance learning setting. The mo...
Charles Bergeron, Jed Zaretzki, Curt M. Breneman, ...
Long-term search history contains rich information about a user's search preferences. In this paper, we study statistical language modeling based methods to mine contextual i...
A fleet of emerging agile methods is both gaining popularity and generating lots of controversy. Real-world examples argue for (e.g. [4]) and against (e.g. [6]) agile methods. Sev...