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Best Learned Models: End-to-end Learning for Land Cover Classification using Irregular and Unaligned SITS by Combining Attention-Based Interpolation with Sparse Variational Gaussian Processes - MaRDI portal

Best Learned Models: End-to-end Learning for Land Cover Classification using Irregular and Unaligned SITS by Combining Attention-Based Interpolation with Sparse Variational Gaussian Processes (Q6697661)

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Dataset published at Zenodo repository.
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Best Learned Models: End-to-end Learning for Land Cover Classification using Irregular and Unaligned SITS by Combining Attention-Based Interpolation with Sparse Variational Gaussian Processes
Dataset published at Zenodo repository.

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    Best learned model learned with the dataset available here for the mTAN-GP, mTAN-MLP, mTAN-LTAE, and raw-LTAE. For further details see the pre-print article End-to-end Learning for Land Cover Classification using Irregular and Unaligned SITS by Combining Attention-Based Interpolation with Sparse Variational Gaussian Processes . This article is available : here. The implementation of the models is available in the open source repository.
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    13 June 2023
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