In this paper we consider the problem of managing and exploiting schedules in an uncertain and distributed environment. We assume a team of collaborative agents, each responsible ...
Stephen F. Smith, Anthony Gallagher, Terry L. Zimm...
This paper explores the use of alternating sequential patterns of local features and saccading actions to learn robust and compact object representations. The temporal encoding rep...
This paper presents an adaptive algorithm for learning the user profile. The user profile is learned incrementally and continuously based on user’s initial profile, his actions ...
We present a system for model-based source separation for use on single channel speech mixtures where the precise source characteristics are not known a priori. The sources are mo...
Abstract. This paper shows how multiagent systems can be modeled by a combination of UML statecharts and hybrid automata. This allows formal system cation on different levels of ab...
Ulrich Furbach, Jan Murray, Falk Schmidsberger, Fr...