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Time Series Reconstruction via Machine Learning: Revealing Decadal Variability and Intermittency in the North Pacific Sector of a Coupled Climate Model., and . CIDU, page 107-117. NASA Ames Research Center, (2011)Nonlinear Laplacian spectral analysis of Rayleigh-Bénard convection., , and . J. Comput. Physics, (2016)A New Approach to Signal Processing of Spatiotemporal Data., , and . SSP, page 338-342. IEEE, (2018)Spatiotemporal Feature Extraction with Data-Driven Koopman Operators., , and . FE@NIPS, volume 44 of JMLR Workshop and Conference Proceedings, page 103-115. JMLR.org, (2015)Nonlinear Laplacian spectral analysis: capturing intermittent and low-frequency spatiotemporal patterns in high-dimensional data., and . Statistical Analysis and Data Mining, 6 (3): 180-194 (2013)Data-driven spectral decomposition of ECoG signal from an auditory oddball experiment in a marmoset monkey: Implications for EEG data in humans., , , and . IJCNN, page 1-10. IEEE, (2018)Spatiotemporal Pattern Extraction by Spectral Analysis of Vector-Valued Observables., , , and . J. Nonlinear Science, 29 (5): 2385-2445 (2019)A spectral Galerkin method for the coupled Orr-Sommerfeld and induction equations for free-surface MHD., , and . J. Comput. Physics, 228 (4): 1188-1233 (2009)Correction to: Spatiotemporal Pattern Extraction by Spectral Analysis of Vector-Valued Observables., , , and . J. Nonlinear Science, 30 (2): 711 (2020)Dynamics-Adapted Cone Kernels.. SIAM J. Applied Dynamical Systems, 14 (2): 556-608 (2015)