Bayesian motion estimation requires two pdf models: observation model and motion field (prior) model. The optimization process for this method uses sequential approach, e.g. simul...
Stephanus Suryadarma Tandjung, Teddy Surya Gunawan...
This paper addresses exact learning of Bayesian network structure from data and expert's knowledge based on score functions that are decomposable. First, it describes useful ...
Many important existing and upcoming biomedical imaging modalities lead to nonlinear relationships between state variables from which measurements result and the tissue properties...
Wolfgang Bangerth, Amit Joshi, Eva M. Sevick-Murac...
Many applications would emerge from the development of artificial systems able to accurately localize and identify sound sources. However, one of the main difficulties of such kin...
AbstractThe principle of cooperation influences our everyday lives. This conflict between individual and collective rationality can be modelled through the use of social dilemmas...