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semantic-based region analyzer

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Decision theory and artificial intelligence I: Semantics-based region analyzer

Feldman, J. | Yakimovsky, Y.

ClassicsFeb-1-1974

Mathematical decision theory can be combined with heuristic techniques to attack Artificial Intelligence problems. As a first example, the problem of breaking an image into meaningful regions is considered. Bayesian decision theory is seen to provide a mechanism for including problem dependent (semantic) information in a general system. Some results are presented which make the computation feasible. A programming system based on these ideas and its application to road scenes is described.

decision theory and artificial intelligence, semantic-based region analyzer

Classics

Technology: Information Technology > Artificial Intelligence > Representation & Reasoning (1.00)

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