Hessian eigenmaps: Locally linear embedding techniques for high-dimensional data
Work
Year: 2003
Type: article
Abstract: We describe a method for recovering the underlying parametrization of scattered data ( m i ) lying on a manifold M embedded in high-dimensional Euclidean space. The method, Hessian-based locally linea... more
Authors David L. Donoho, Carrie Grimes
Institution Stanford University
Cites: 7
Cited by: 1,701
Related to: 10
FWCI: 29.48
Citation percentile (by year/subfield): 99.99
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: green