During face-to-face conversation, people naturally integrate speech, gestures and higher level language interpretations to predict the right time to start talking or to give backc...
The paper presents an integrated set-theoretic data model that offers a framework for defining a unified schema for any database environment. We utilise the concepts ”entity...
Emmanuel J. Yannakoudakis, Panagiotis Andrikopoulo...
Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computation...
Models such as pairwise conditional random fields (CRFs) are extremely popular in computer vision and various other machine learning disciplines. However, they have limited expre...
We discuss the suitability of service-oriented computing for the automotive domain. We present a formal high-level language in which complex automotive activities can be modelled ...