This paper presents a novel texture segmentation method using Bayesian estimation and neural networks. Multi-scale wavelet coefficients and the context information extracted from n...
We address the problem of segmenting a sequence of images of natural scenes into disjoint regions that are characterized by constant spatio-temporal statistics. We model the spati...
Gianfranco Doretto, Daniel Cremers, Paolo Favaro, ...
We define a mechanism for specifying performance queries which combine instantaneous observations of model states and finite sequences of observations of model activities. We reali...
This paper applies two dynamic Bayes networks that include theoretical and measured kinematic features of the vocal tract, respectively, to the task of labeling phoneme sequences ...
Biomodel engineering is the science of designing, constructing and analyzing computational models of biological systems. It forms a systematic and powerful extension of earlier mat...
Rainer Breitling, Robin Donaldson, David R. Gilber...