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Spatialising uncertainty in image segmentation using weakly supervised convolutional neural networks: a case study from historical map processing.

, , , , and . IET Image Processing, 12 (11): 2084-2091 (2018)

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Exclusive grouped spatial hashing., , , , , and . Comput. Graph., (2018)A novel H-infinity filtering for road constrained target tracking., and . CCIS, page 951-955. IEEE, (2012)A Label Correction Algorithm Using Prior Information for Automatic and Accurate Geospatial Object Recognition., , , , and . IEEE BigData, page 1604-1610. IEEE, (2021)Map Archive Mining: Visual-Analytical Approaches to Explore Large Historical Map Collections., , , , and . ISPRS Int. J. Geo Inf., 7 (4): 148 (2018)Building Linked Data from Historical Maps., , , , , , and . SemSci@ISWC, volume 2184 of CEUR Workshop Proceedings, page 59-67. CEUR-WS.org, (2018)Efficient and Accurate Object Extraction from Scanned Maps by Leveraging External Data and Learning Representative Context.. SIGSPATIAL/GIS, page 10:1-10:2. ACM, (2023)Spatialising uncertainty in image segmentation using weakly supervised convolutional neural networks: a case study from historical map processing., , , , and . IET Image Processing, 12 (11): 2084-2091 (2018)CVS: Fast cardinality estimation for large-scale data streams over sliding windows., , , , and . Neurocomputing, (2016)Automated Extraction of Human Settlement Patterns From Historical Topographic Map Series Using Weakly Supervised Convolutional Neural Networks., , , , and . IEEE Access, (2020)Automatic alignment of contemporary vector data and georeferenced historical maps using reinforcement learning., , , , and . Int. J. Geogr. Inf. Sci., 34 (4): 824-849 (2020)