Chapter: Distances Between Datasets

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Home > Modern Approaches to Discrete Curvature > Distances Between Datasets

Modern Approaches to Discrete Curvature |

Laurent Najman; Pascal Romon

Springer International Publishing

Distances Between Datasets

Chapter Info

Authors

Facundo Mémoli

ARI Id

1665077495050_4732935

Access

Not Available Free

Pages

115-132

DOI

10.1007/978-3-319-58002-9_3

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-319-58002-9_3

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Chapters/Headings	Author(s)	Pages	Info
Front Matter		i-xxvi
The Geometric Meaning of Curvature: Local and Nonlocal Aspects of Ricci Curvature	Frank Bauer; Bobo Hua; Jürgen Jost; Shiping Liu; Guofang Wang	1-62
Metric Curvatures Revisited: A Brief Overview	Emil Saucan	63-114
Distances Between Datasets	Facundo Mémoli	115-132
Inference of Curvature Using Tubular Neighborhoods	Frédéric Chazal; David Cohen-Steiner; André Lieutier; Quentin Mérigot; Boris Thibert	133-158
Entropic Ricci Curvature for Discrete Spaces	Jan Maas	159-174
Geometric and Spectral Consequences of Curvature Bounds on Tessellations	Matthias Keller	175-209
The Geometric Spectrum of a Graph and Associated Curvatures	Paul Baird	211-258
Discrete Minimal Surfaces of Koebe Type	Alexander I. Bobenko; Ulrike Bücking; Stefan Sechelmann	259-291
Robust and Convergent Curvature and Normal Estimators with Digital Integral Invariants	Jacques-Olivier Lachaud; David Coeurjolly; Jérémy Levallois	293-348
Back Matter		349-353
Chapters/Headings	Author(s)	Pages	Info

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