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 | 946 | 2007 |
Gromov–Wasserstein distances and the metric approach to object matching F Mémoli Foundations of Computational Mathematics 11 (4), 417-487, 2011 | 655 | 2011 |
Characterization, stability and convergence of hierarchical clustering methods. GE Carlsson, F Mémoli J. Mach. Learn. Res. 11 (Apr), 1425-1470, 2010 | 422* | 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 | 396 | 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 | 392 | 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 | 358 | 2009 |
On the use of Gromov-Hausdorff distances for shape comparison F Mémoli Point Based Graphics. 2 (2007), 2007 | 276 | 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 | 251 | 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 | 223 | 2012 |
Comparing point clouds F Mémoli, G Sapiro Proc. of the 2004 Eurographics/ACM SIGGRAPH Symposium on Geometry processing …, 2004 | 169 | 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 | 157 | 2001 |
Spectral Gromov-Wasserstein distances for shape matching F Mémoli 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV …, 2009 | 133 | 2009 |
Implicit brain imaging F Mémoli, G Sapiro, P Thompson NeuroImage 23, S179-S188, 2004 | 125 | 2004 |
Classifying clustering schemes G Carlsson, F Mémoli Foundations of Computational Mathematics 13, 221-252, 2013 | 119 | 2013 |
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 | 119* | 2005 |
Gromov-Hausdorff distances in Euclidean spaces F Mémoli 2008 IEEE Computer Society Conference on Computer Vision and Pattern …, 2008 | 112 | 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 | 111 | 2019 |
Some properties of Gromov–Hausdorff distances F Mémoli Discrete & Computational Geometry 48, 416-440, 2012 | 108 | 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 | 95* | 2018 |
Generalized persistence diagrams for persistence modules over posets W Kim, F Memoli J. of Applied and Computational Topology, 2021 | 93 | 2021 |