Learning good image priors is of utmost importance for the study of vision, computer vision and image processing applications. Learning priors and optimizing over whole images can...
Heritage management in New Zealand is data rich but information poor. For nearly 50 years, the New Zealand Archaeological Association has maintained a paper based, largely textual...
Lesley A. Gardner, S. J. Holdaway, D. C. Whitehead...
The classical probabilistic models attempt to capture the Ad hoc information retrieval problem within a rigorous probabilistic framework. It has long been recognized that the prim...
In this contribution, new online EM algorithms are proposed to perform inference in general hidden Markov models. These algorithms update the parameter at some deterministic times ...
In this paper we present a new approach to model the effect of virtual channel multiplexing in high-speed interconnection networks. Previous studies have used a method proposed by...
Nasser Alzeidi, Ahmad Khonsari, Mohamed Ould-Khaou...