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Matches in SemOpenAlex for { <https://semopenalex.org/work/W2006656670> ?p ?o ?g. }

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• W2006656670 abstract "We present algorithms for analyzing massive and high dimensional data sets motivated by theorems from geometry and topology. Optimization criteria for computing data projections are discussed and skew radial basis functions (sRBFs) for constructing nonlinear mappings with sharp transitions are demonstrated. Examples related to modeling dynamical systems, including hurricane intensity and financial time series prediction, are presented. The article represents an overview of the authors' and collaborators' work in manifold learning." @default.
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• W2006656670 date "2011-03-01" @default.
• W2006656670 modified "2023-09-25" @default.
• W2006656670 title "Geometric Manifold Learning" @default.
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• W2006656670 doi "https://doi.org/10.1109/msp.2010.939550" @default.
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