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Abstract:
We describe a class of probabilistic models that we call
credibility networks. Using parse trees as internal representations
of images, credibility networks are able to perform segmentation
and recognition simultaneously, removing the need for ad hoc
segmentation heuristics. Promising results in the problem of
segmenting handwritten digits were obtained.
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