STRUCTURAL OBJECT RECOGNITION BY PROBABILISTIC FEEDBACK
András Barta, István Vajk · Kluwer Academic Publishers eBooks · 2006
This paper investigates, how Bayes networks can be applied to hierarchical object representation. It provides a hierarchical graph definition an a recursive algorithm to convert the objects to graph representations and also to reconstruct the image of the objects from its graph. The structural complexity of the objects is calculated to get compact representations.