This paper investigates a new learning model in which the input data is corrupted with noise. We present a general statistical framework to tackle this problem. Based on the stati...
We give derivations of two formal models of Gricean Quantity1 implicature and strong exhaustivity (Van Rooij and Schulz, 2004; Schulz and Van Rooij, 2006), in bidirectional optima...
We present a framework for passivity-preserving model reduction for RLC systems that includes, as a special case, the well-known PRIMA model reduction algorithm. This framework pr...
The Zachman Framework offers a classification of the models created in an enterprise architecture project. These models form a holistic representation of the organization. Despite...
Alain Wegmann, Anders Kotsalainen, Lionel Matthey,...
We introduce a framework for advanced behavioral animation in virtual humans, which addresses the challenging open problem of simulating social interactions between pedestrians in...