Europhysics Letters (EPL) · 1987 · 125 citations · 2 references
ComputingComputer ScienceComputational NeuroscienceComputer VisionMachine LearningGraph AlgorithmsGraph TheoryGraph-based LearningNeural NetworksPattern RecognitionShape RepresentationEnergy Function OptimizationGraph MatchingGraph Neural NetworksGraph Representation LearningGraph-based Pattern RecognitionSubgraph ExtractionSubgraph IsomorphismSubgraph Mining
We consider the problem of recognizing a shifted and distorted 2-dimensional shape. This task is formalized as a problem of labelled graph matching. To solve this problem, we construct an energy function similar to the one used in a previous paper for solving the subgraph retrieval problem. We present a neuronal model for invariant pattern recognition, based on this solution to subgraph retrieval and graph matching.
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Optimization by Simulated Annealing
Scott Kirkpatrick, C. D. Gelatt, M.P. Vecchi · Science · 1983 · 44.6K citations