This paper addresses the problem of learning object models from egocentric video of household activities, using extremely weak supervision. For each activity sequence, we know onl...
We introduce a framework for storing and processing kinetic data observed by sensor networks. These sensor networks generate vast quantities of data, which motivates a significant...
In this paper, we describe a nonlinear image representation based on divisive normalization that is designed to match the statistical properties of photographic images, as well as...
Abstract— In this paper we evaluate interactions among flowlevel performance metrics when integrating QoS and best effort flows in a wireless system using opportunistic schedul...
People rely on tactile edge localization to ascertain the location and structure of edges. When pressure is applied to the skin, skin mechanoreceptors convert compressive stress/s...