This paper investigates a new learning formulation called dynamic group sparsity. It is a natural extension of the standard sparsity concept in compressive sensing, and is motivat...
Abstract. Workload characterization is important for understanding how systems and services are used in practice and to help identify design improvements. To better understand the ...
Data quality is a critical problem in modern databases. Data entry forms present the first and arguably best opportunity for detecting and mitigating errors, but there has been li...
Kuang Chen, Harr Chen, Neil Conway, Joseph M. Hell...
Emerging VLSI technologies and platforms are giving rise to systems with inherently high potential for runtime failure. Such failures range from intermittent electrical and mechan...
Abstract. Structured light stereoscopic imaging offers an efficient and affordable solution to 3D modeling of objects. The majority of structured light patterns that have been prop...