The study of sign languages attempts to create a coherent model that binds the expressive nature of signs conveyed in gestures to a linguistic framework. Gesture modelling offers a...
We consider the task of learning mappings from sequential data to real-valued responses. We present and evaluate an approach to learning a type of hidden Markov model (HMM) for re...
User models (UM)the explicit representation of all relevant aspects of a user's preferences, beliefs, etc. form the basis of virtually all adaptive systems. While early appro...
This paper proposes a model for short-term content adaptation whose aim is to satisfy the contingent needs of users by adjusting the information a web-application provides on the ...
Marco Benini, Alberto Trombetta, Michela Acquaviva
We introduce a generative model of dense flow fields within a layered representation of 3-dimensional scenes. Using probabilistic inference and learning techniques (namely, varia...