It is generally assumed in the traditional formulation of supervised learning that only the outputs data are uncertain. However, this assumption might be too strong for some learni...
Patrick Dallaire, Camille Besse, Brahim Chaib-draa
Long running applications often need to adapt due to changing requirements or changing environment. Typically, such adaptation is performed by dynamically adding or removing compo...
This paper presents a method to analyze the timing behavior of an event-based real-time protocol composition framework. The framework, called RT-Appia, allows the development and ...
This paper introduces an object-passing model for parallel and distributed application development. Object passing provides the object-oriented application developer with powerful...
Abstract. We present two data-driven importance distributions for particle filterbased articulated tracking; one based on background subtraction, another on depth information. In ...