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Applications and Extensions: A Survey of Literature

  • David Ryckelynck,
  • Fabien Casenave,
  • Nissrine Akkari

摘要

This chapter contains a literature survey of the work published by the authors in the timeframe of their collaboration, where the concepts presented in this book have been applied to real-life industrial settings, and new methodologies have been developed. The listed contributions are grouped into the following themes: linear manifold learning, nonlinear dimensionality reduction via auto-encoder, piecewise linear dimensionality reduction via dictionary-based ROMnets and manifold learning of physics problems assisted by black-box regressors.