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Titlebook: 10th International Conference on Automated Deduction; Kaiserslautern, FRG, Mark E. Stickel Conference proceedings 1990 Springer-Verlag Berl

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3-D Shape Estimation and Image Restoration technique to control such a deduction in a goal directed way: Comparing conclusion and hypothesis we obtain a syntactical pattern which has to be satisfied by each intermediate result of the deduction. To maintain this restriction we present a notion of terms and equations called .-terms resp. .-eq
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3-D Shape Estimation and Image Restoratione proof procedures construct term rewriting induction proofs. It has been widely held heretofore that these procedures construct proofs by consistency, and cannot be justified as induction methods. Our formulation shows otherwise. Technically, our result goes beyond the earlier ones in that it is in
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https://doi.org/10.1007/978-1-84628-688-9seen as quantifier restrictions as they filter out the values that can be assigned to the variables of a clause (or an arbitrary formulae with restricted universal or existential quantifier) in any of the models of the constraint theory. We present a resolution principle for clauses with constraints
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3-D Shape Estimation and Image Restorationrove geometric theorems that Wu‘s original method addresses. Unlike Wu‘s original approach, nondegenerate conditions are given explicitly at the beginning, not generated during the proof process. A program based on this improved version of the algorithm proved more than 500 theorems, including Morle
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Basic models of image formation,d commutative variable-binding operators are equal is polynomially equivalent to determining if two graphs are isomorphic. The reductions we use provide insight into this result and suggest polynomial time special cases.
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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/012/image/100240.jpg
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