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Swap Randomization of Bases of Sequences for Mining Satellite Image Times Series.

, , and . ECML/PKDD (2), volume 9285 of Lecture Notes in Computer Science, page 190-205. Springer, (2015)

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On Extracting Evolutions from Satellite Image Time Series., , , and . IGARSS (5), page 228-231. IEEE, (2008)A Pattern-Based Method For Handling Confidence Measures While Mining Satellite Displacement Field Time Series: Application to Greenland Ice Sheet and Alpine Glaciers., , , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 11 (11): 4390-4402 (2018)Channel-Based Attention for LCC Using Sentinel-2 Time Series., , , , and . CoRR, (2021)Motifs séquentiels pour la description de séries temporelles d'images satellitaires et la prévision d'événements.. (2013)Constraint-Based Mining of Episode Rules and Optimal Window Sizes., and . PKDD, volume 3202 of Lecture Notes in Computer Science, page 313-324. Springer, (2004)On joint parameterizations of linear and nonlinear functionals in neural networks., , , and . Neural Networks, (March 2023)Mining Pixel Evolutions in Satellite Image Time Series for Agricultural Monitoring., , , , , and . ICDM, volume 6870 of Lecture Notes in Computer Science, page 189-203. Springer, (2011)Episode Rule-Based Prognosis Applied to Complex Vacuum Pumping Systems Using Vibratory Data., , , and . ICDM, volume 6171 of Lecture Notes in Computer Science, page 376-389. Springer, (2010)A swap randomization approach for mining motion field time series over the Argentiere glacier., , , , , , and . MultiTemp, page 1-4. IEEE, (2015)Iterative summarization of satellite image time series., , , , and . IGARSS, page 1425-1428. IEEE, (2014)