We propose novel algorithms for organizing large image and video datasets using both the visual content and the associated sideinformation, such as time, location, authorship, and...
Machine-learning algorithms are employed in a wide variety of applications to extract useful information from data sets, and many are known to suffer from superlinear increases in ...
Karthik Nagarajan, Brian Holland, Alan D. George, ...
Typical scientific data is represented on a grid with appropriate interpolation or approximation schemes, defined on a continuous domain. The visualization of such data in parallel...
—On-die capacitances interact with the inductance and resistance of the power distribution network to supply electrical charge. A distributed model is generally required to analy...
Michael Sotman, Avinoam Kolodny, Mikhail Popovich,...
— Higher chip densities and the push for higher performance have continued to drive design needs. Transition delay fault testing has become the preferred method for ensuring thes...