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This paper presents a powerful image understanding system that utilizes a semantic-syntactic (or attributed-synibolic) representation scheme in the form of attributed relational graphs (ARG's) for comprehending the global information contents of images. Nodes in the ARG represent the global image features, while the relations between those features are(More)
Summary form only given, as follows. Neural models of computing are defined in terms of large numbers of interconnected neuron-like units. These models have been implemented on various parallel processors, employing relatively coarse-grained parallelism at the level of neurons or groups of neurons. The authors present a novel algorithm for parallelism at(More)
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