This paper addresses the problem of recovering the locations of both mobile devices and access points from radio signals that come in a stream manner, a problem which we call onli...
Weather radars can measure the backscatter from rain drops in the atmosphere. A complete radar scan provides three–dimensional precipitation information. For the understanding o...
Thomas Gerstner, Dirk Meetschen, Susanne Crewell, ...
We propose a hybrid, unsupervised document clustering approach that combines a hierarchical clustering algorithm with Expectation Maximization. We developed several heuristics to ...
Learning patterns of human behavior from sensor data is extremely important for high-level activity inference. We show how to extract and label a person’s activities and signiï¬...
Localization is the problem of determining the position of a mobile robot from sensor data. Most existing localization approaches are passive, i.e., they do not exploit the opport...