Many analysis and monitoring applications require the repeated execution of expensive modeling functions over streams of rapidly changing data. These applications can often be exp...
Abstract. A major challenge in pervasive computing is to learn activity patterns, such as bathing and cleaning from sensor data. Typical sensor deployments generate sparse datasets...
Abstract—The slack time in real-time systems can be used by recovery schemes to increase system reliability as well as by frequency and voltage scaling techniques to save energy....
Temperature is a dominant factor in the performance, reliability, and leakage power consumption of modern processors. As a result, increasing numbers of researchers evaluate therm...
Francisco J. Mesa-Martinez, Ehsan K. Ardestani, Jo...
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...