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Ensemble Learning in Non-Gaussian Data Assimilation.

, , and . DyDESS, volume 8964 of Lecture Notes in Computer Science, page 227-238. Springer, (2014)

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Mixture Ensembles for Data Assimilation in Dynamic Data-driven Environmental Systems., , and . ICCS, volume 29 of Procedia Computer Science, page 1266-1276. Elsevier, (2014)Sloop: A pattern retrieval engine for individual animal identification., , , , , and . Pattern Recognition, 48 (4): 1059-1073 (2015)Machine Learning for the Geosciences: Challenges and Opportunities., , , , and . IEEE Trans. Knowl. Data Eng., 31 (8): 1544-1554 (2019)Neural Integration of Continuous Dynamics., and . CoRR, (2019)Two Extensions of Data Assimilation by Field Alignment.. International Conference on Computational Science (1), volume 4487 of Lecture Notes in Computer Science, page 1147-1154. Springer, (2007)Amplitude-Position Formulation of Data Assimilation.. International Conference on Computational Science (3), volume 3993 of Lecture Notes in Computer Science, page 497-505. Springer, (2006)Vision-Based Biometrics for Conservation., , and . MCPR, volume 7914 of Lecture Notes in Computer Science, page 10-19. Springer, (2013)On a quadratic information measure for data assimilation., and . ACC, page 598-603. IEEE, (2014)Tractable Non-Gaussian Representations in Dynamic Data Driven Coherent Fluid Mapping.. Handbook of Dynamic Data Driven Applications Systems, Springer, (2018)Deformation invariant image matching by spectrally controlled diffeomorphic alignment., and . ICCV, page 1303-1310. IEEE Computer Society, (2009)