—This paper presents a method for learning decision theoretic models of human behaviors from video data. Our system learns relationships between the movements of a person, the co...
The massive data streams observed in network monitoring, data processing and scientific studies are typically too large to store. For many applications over such data, we must ob...
Digital microfluidic biochips have emerged as a popular alternative for laboratory experiments. To make the biochip feasible for practical applications, pin-count reduction is a k...
As minimum feature sizes continue to shrink, patterned features have become significantly smaller than the wavelength of light used in optical lithography. As a result, the requir...
Puneet Gupta, Andrew B. Kahng, Dennis Sylvester, J...
Memory-related activity is one of the major sources of energy consumption in embedded systems. Many types of memories used in embedded systems allow multiple operating modes (e.g....