Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
: Motivated by the problem of out-of-shelf (OOS) in retail industry and the emergence of RFID (Radio Frequency Identification) technology, this paper investigates the impact that t...
Reliably recovering 3D human pose from monocular video requires models that bias the estimates towards typical human poses and motions. We construct priors for people tracking usi...
In order to search corpora written in two or more languages, the simplest and most efficient approach is to translate the query submitted into the required language(s). To achieve...
In many applications, we monitor data obtained from multiple streaming sources for collective decision making. The task presents several challenges. First, data in sensor networks...