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Old document image segmentation using the autocorrelation function and multiresolution analysis.

, , , and . DRR, volume 8658 of SPIE Proceedings, page 86580K. SPIE, (2013)

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A Comparative Study of Two State-of-the-Art Feature Selection Algorithms for Texture-Based Pixel-Labeling Task of Ancient Documents., , , , , and . J. Imaging, 4 (8): 97 (2018)Graph Neural Network for Symbol Detection on Document Images., , , and . GREC@ICDAR, page 62-67. IEEE, (2019)Use of SLIC superpixels for ancient document image enhancement and segmentation., , , , , and . DRR, volume 9402 of SPIE Proceedings, page 940205. SPIE, (2015)Datasets for the Evaluation of Substitution-Tolerant Subgraph Isomorphism., , and . GREC, volume 8746 of Lecture Notes in Computer Science, page 240-251. Springer, (2013)Technical report: Graph Neural Networks go Grammatical., , , , , , and . CoRR, (2023)A Graph Classification Approach Using a Multi-objective Genetic Algorithm Application to Symbol Recognition., , , , , and . GbRPR, volume 4538 of Lecture Notes in Computer Science, page 361-370. Springer, (2007)Using Bags of Symbols for Automatic Indexing of Graphical Document Image Databases., , , and . GREC, volume 3926 of Lecture Notes in Computer Science, page 195-205. Springer, (2005)GEM++: A Tool for Solving Substitution-Tolerant Subgraph Isomorphism., , , and . GbRPR, volume 9069 of Lecture Notes in Computer Science, page 128-137. Springer, (2015)Predicting experimental electrophilicities from quantum and topological descriptors: A machine learning approach., , , , , , and . J. Comput. Chem., 41 (24): 2124-2136 (2020)Symbols Detection and Classification using Graph Neural Networks., , , , , and . Pattern Recognit. Lett., (2021)