Multi-instance (MI) learning is a variant of supervised learning where labeled examples consist of bags (i.e. multi-sets) of feature vectors instead of just a single feature vecto...
This paper describes work done as part of the Oxford AGV (Autonomous Guided Vehicle) project [2] towards recognition of classes of objects to be encountered in a factory environme...
The huge demand for ad-hoc and situational enterprise-class applications led to a new kind of Web-based applications, known as enterprise mashups. End users from the business units...
Florian Gilles, Volker Hoyer, Till Janner, Katarin...
Abstract—The classification of sequences requires the combination of information from different time points. In this paper the detection of facial expressions is considered. Exp...
Abstract. Enterprise modelling focuses on the construction of a structured description, the so-called enterprise model, which represents aspects relevant to the activity of an ente...
Chiara Ghidini, Barbara Kump, Stefanie N. Lindstae...