A Theoretical and Computational Framework for Isometry Invariant Recognition of Point Cloud Data

An introduction to probability theory and its applications

Journal of the Franklin Institute · 1958 · 30K citations

Natural Sciences, Mathematics, Probability Theory +11

A Global Geometric Framework for Nonlinear Dimensionality Reduction

Joshua B. Tenenbaum, Vin de Silva, John Langford · Science · 2000 · 13.7K citations

Computing, Computer Science, Neuroscience +14

Laplacian Eigenmaps for Dimensionality Reduction and Data Representation

Mikhail Belkin, Partha Niyogi · Neural Computation · 2003 · 7.7K citations

Computing, Computer Science, Data Mining +13

Comparing images using the Hausdorff distance

D.P. Huttenlocher, G.A. Klanderman, W.J. Rucklidge · IEEE Transactions on Pattern Analysis and Machine Intelligence · 1993 · 4.5K citations

Computing, Computer Science, Computational Geometry +16

Hessian eigenmaps: Locally linear embedding techniques for high-dimensional data

David L. Donoho, Carrie Grimes · Proceedings of the National Academy of Sciences · 2003 · 1.7K citations

Computing, Computer Science, Computational Geometry +13