Latent representation learning for geospatial entities
Representation learning has been instrumental in the success of machine learning, offering compact and performant data representations for diverse downstream tasks. In the spatial domain, it has been pivotal in extracting latent patterns from various data types, including points, polylines, polygons...
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| Main Authors: | , |
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| Format: | text |
| Language: | English |
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Institutional Knowledge at Singapore Management University
2024
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/9843 https://ink.library.smu.edu.sg/context/sis_research/article/10843/viewcontent/tsas24.pdf |
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| Institution: | Singapore Management University |
| Language: | English |