Group elevator scheduling has received considerable attention due to its importance to transportation efficiency for mid-rise and high-rise buildings. One important trend to improv...
We propose a variance-component probabilistic model for sparse signal reconstruction and model selection. The measurements follow an underdetermined linear model, where the unknown...
—The domain of vision and navigation often includes applications for feature tracking as well as simultaneous localization and mapping (SLAM). As these problems require computati...
Jason Cong, Beayna Grigorian, Glenn Reinman, Marco...
Abstract. This article presents a new open-source C++ implementation to solve the SLAM problem, which is focused on genericity, versatility and high execution speed. It is based on...
This work studies the problem of distributed classification in peer-to-peer (P2P) networks. While there has been a significant amount of work in distributed classification, most o...