Markov Decision Processes are a powerful framework for planning under uncertainty, but current algorithms have difficulties scaling to large problems. We present a novel probabil...
We present an application prototype of dynamic knowledge representation programmed in LUPS (a language for updating logic programs). This is a case study to model intelligent agen...
Juan Carlos Acosta Guadarrama, Mauricio Javier Oso...
The HARD track of TREC 2004 aims to improve the accuracy of information retrieval through the use of three techniques: (1) query metadata that better describes the information nee...
The aim of this work is to render high-quality views of a dynamic scene from novel viewpoints in real-time. An online system available at our institute computes the visual hull as...
This paper introduced the application of a more efficient mathematical representation of the kinematics of avatars, or digital human beings, in telecollaborative virtual reality e...