Combining neural networks and belief networksfor image segmentationChristopher

In this paper we are concerned with segmenting an image into a number of predeened classes. We show how to fuse together local predictions for the class labels with a prior model of segmentations using the scaled-likelihood method. The prior model is based on a tree-structured belief network. Both the neural network and belief network were trained on a set… (More)