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Graph-Based Representations in Pattern Recognition: 12th IAPR-TC-15 Internationa

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They cover topics such as graph edit distance, graph matching, machine learning for graph problems, network and graph embedding, spectral graph problems, and parallel algorithms for graph problems. The papers discuss research results and applications at the intersection of pattern recognition, image analysis, and graph theory.

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