Learning algorithms utilizing quasi-geodesic flows on the Stiefel manifold

Nonlinear Dimensionality Reduction by Locally Linear Embedding

Sam T. Roweis, Lawrence K. Saul · Science · 2000 · 15K citations

Computing, Computer Science, Data Visualization +15

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

The Geometry of Algorithms with Orthogonality Constraints

Alan Edelman, T. A. Arias, Steven T. Smith · SIAM Journal on Matrix Analysis and Applications · 1998 · 2.7K citations

Natural Sciences, Computer Science, Mathematics +16

Natural Gradient Works Efficiently in Learning

Neural Computation · 1998 · 2.7K citations

Computing, Computer Science, Artificial Intelligence +14

Independent Component Analysis Using an Extended Infomax Algorithm for Mixed Subgaussian and Supergaussian Sources

Te-Won Lee, Mark Girolami, Terrence J. Sejnowski · Neural Computation · 1999 · 2K citations

Engineering, Electrical Engineering, Neuroscience +16