We propose a framework for compressive sensing of images with local geometric features. Specifically, let x ∈ RN be an N-pixel image, where each pixel p has value xp. The image...
Rishi Gupta, Piotr Indyk, Eric Price, Yaron Rachli...
—In this paper we study the resource allocation in OFDM-based cognitive radio (CR) networks, under the consideration of many practical limitations such as imperfect spectrum sens...
As sensor networks mature, there will be an increasing need for re-usable, dynamically taskable software systems that support multiple concurrent applications. In this paper, we c...
We study activity recognition using 104 hours of annotated data collected from a person living in an instrumented home. The home contained over 900 sensor inputs, including wired r...
Beth Logan, Jennifer Healey, Matthai Philipose, Em...
As communications systems increasingly gather and propagate information about people’s reachability or “presence”, users need better tools to minimize undesired interruption...