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Geometric data analysis based on manifold learning with applications for image understanding
Junior et al, Resourse uploaded by Hannes Fassold:
Geometric data analysis based on manifold learning with applications for image understanding
Geometric data analysis based on manifold learning with applications for image understanding
The conference paper gives in the first section a brief and easy understandable introduction into the basics of Riemannian geometry. Furthermore, it gives a review of classical methods for mapping data into a low-dimensional manifold / nonlinear dimensionality reduction like Local Linear Embedding (LLE), Isometric Feature Mapping (ISOMAP) and Local Riemannian Manifold Learning (LRML).
Link to the resource (fulltext):
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8250223