We present a simple, effective generalisation of variable order Markov
models to full online Bayesian estimation. The mechanism used is close
to that employed in context tree wei...
A complexity model for motion compensation in the H.264/AVC decoder is proposed. This model considers a rich set of inter prediction modes allowed by H.264 as well as the relation...
In this paper we discuss variational data assimilation using the STEM atmospheric Chemical Transport Model. STEM is a multiscale model and can perform air quality simulations and p...
Clinical trials constitute large, complex, and resource intensive activities for pharmaceutical companies. Accurate prediction of patient enrollment would represent a major step f...
Bernard M. McGarvey, Nancy J. Dynes, Burch C. Lin,...
In this paper, we propose a new network growth model and its learning algorithm to more precisely model such a real-world growing network as the Web. Unlike the conventional model...