Facundo Mémoli
Facundo Mémoli
Department of Mathematics. The Ohio State University.
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Cited by
Cited by
Topological methods for the analysis of high dimensional data sets and 3d object recognition.
G Singh, F Mémoli, GE Carlsson
Point Based Graphics. 2 (2007), 2007
Gromov–Wasserstein distances and the metric approach to object matching
F Mémoli
Foundations of Computational Mathematics 11 (4), 417-487, 2011
Characterization, stability and convergence of hierarchical clustering methods.
GE Carlsson, F Mémoli
J. Mach. Learn. Res. 11 (Apr), 1425-1470, 2010
One point isometric matching with the heat kernel
M Ovsjanikov, Q Mérigot, F Mémoli, L Guibas
Computer Graphics Forum 29 (5), 1555-1564, 2010
A theoretical and computational framework for isometry invariant recognition of point cloud data
F Mémoli, G Sapiro
Foundations of Computational Mathematics 5, 313-347, 2005
Gromov‐Hausdorff stable signatures for shapes using persistence
F Chazal, D Cohen‐Steiner, LJ Guibas, F Mémoli, SY Oudot
Computer Graphics Forum 28 (5), 1393-1403, 2009
On the use of Gromov-Hausdorff distances for shape comparison
F Mémoli
Point Based Graphics. 2 (2007), 2007
Topological analysis of population activity in visual cortex
G Singh, F Memoli, T Ishkhanov, G Sapiro, G Carlsson, DL Ringach
Journal of vision 8 (8), 11-11, 2008
A topological paradigm for hippocampal spatial map formation using persistent homology
Y Dabaghian, F Mémoli, L Frank, G Carlsson
PLOS Computational Biology (Public Library of Science) 8 (8), e1002581, 2012
Comparing point clouds
F Mémoli, G Sapiro
Proc. of the 2004 Eurographics/ACM SIGGRAPH Symposium on Geometry processing …, 2004
Fast computation of weighted distance functions and geodesics on implicit hyper-surfaces
F Mémoli, G Sapiro
Journal of computational Physics 173 (2), 730-764, 2001
Spectral Gromov-Wasserstein distances for shape matching
F Mémoli
2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV …, 2009
Implicit brain imaging
F Mémoli, G Sapiro, P Thompson
NeuroImage 23, S179-S188, 2004
Distance Functions and Geodesics on Submanifolds of \R^d and Point Clouds
F Mémoli, G Sapiro
SIAM Journal on Applied Mathematics 65 (4), 1227-1260, 2005
Classifying clustering schemes
G Carlsson, F Mémoli
Foundations of Computational Mathematics 13, 221-252, 2013
Gromov-Hausdorff distances in Euclidean spaces
F Mémoli
2008 IEEE Computer Society Conference on Computer Vision and Pattern …, 2008
The Gromov–Wasserstein distance between networks and stable network invariants
S Chowdhury, F Mémoli
Information and Inference: A Journal of the IMA 8 (4), 757-787, 2019
Solving variational problems and partial differential equations mapping into general target manifolds
F Mémoli, G Sapiro, S Osher
Journal of Computational Physics 195 (1), 263-292, 2004
Some properties of Gromov–Hausdorff distances
F Mémoli
Discrete & Computational Geometry 48, 416-440, 2012
A functorial Dowker theorem and persistent homology of asymmetric networks
S Chowdhury, F Mémoli
Journal of Applied and Computational Topology 2, 115-175, 2018
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