Sparse eigenbasis approximation: Multiple feature extraction across spatiotemporal scales with application to coherent set identification

Research article (Communications in Nonlinear Science and Numerical Simulation, 2019) · cited 49× · AI/ML
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Sparse eigenbasis approximation: Multiple feature extraction across spatiotemporal scales with application to coherent set identification

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Sparse eigenbasis approximation: Multiple feature extraction across spatiotemporal scales with application to coherent set identification is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Sparse eigenbasis approximation: Multiple feature extraction across spatiotemporal scales with application to coherent set identification. Retrieved May 24, 2026, from https://4ort.xyz/entity/sparse-eigenbasis-approximation-multiple-feature-extraction-across-spatiotemporal-scales-with-application-to-coherent-se
MLA “Sparse eigenbasis approximation: Multiple feature extraction across spatiotemporal scales with application to coherent set identification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/sparse-eigenbasis-approximation-multiple-feature-extraction-across-spatiotemporal-scales-with-application-to-coherent-se.
BibTeX @misc{4ortxyz_sparse-eigenbasis-approximation-multiple-feature-extraction-across-spatiotemporal-scales-with-application-to-coherent-se_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Sparse eigenbasis approximation: Multiple feature extraction across spatiotemporal scales with application to coherent set identification}}, year = {2026}, url = {https://4ort.xyz/entity/sparse-eigenbasis-approximation-multiple-feature-extraction-across-spatiotemporal-scales-with-application-to-coherent-se}, note = {Accessed: 2026-05-24}}
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