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Building Linked Data from Historical Maps.

, , , , , , and . SemSci@ISWC, volume 2184 of CEUR Workshop Proceedings, page 59-67. CEUR-WS.org, (2018)

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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)Triple-domain Feature Learning with Frequency-aware Memory Enhancement for Moving Infrared Small Target Detection., , , , and . CoRR, (2024)Building Linked Data from Historical Maps., , , , , , and . SemSci@ISWC, volume 2184 of CEUR Workshop Proceedings, page 59-67. CEUR-WS.org, (2018)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)Building knowledge graph from public data for predictive analysis: a case study on predicting technology future in space and time., and . BigSpatial@SIGSPATIAL, page 7-13. ACM, (2016)SRC: a fully automatic geographic feature recognition system., and . ACM SIGSPATIAL Special, 9 (3): 6-7 (2017)Automatic alignment of geographic features in contemporary vector data and historical maps., , , , , , and . GeoAI@SIGSPATIAL, page 45-54. ACM, (2017)Building Linked Spatio-Temporal Data from Vectorized Historical Maps., , , , , and . ESWC, volume 12123 of Lecture Notes in Computer Science, page 409-426. Springer, (2020)