Sciweavers

NIPS
2001
14 years 27 days ago
Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering
Drawing on the correspondence between the graph Laplacian, the Laplace-Beltrami operator on a manifold, and the connections to the heat equation, we propose a geometrically motiva...
Mikhail Belkin, Partha Niyogi
AAAI
2010
14 years 1 months ago
Conformal Mapping by Computationally Efficient Methods
Dimensionality reduction is the process by which a set of data points in a higher dimensional space are mapped to a lower dimension while maintaining certain properties of these p...
Stefan Pintilie, Ali Ghodsi
CVPR
1997
IEEE
15 years 1 months ago
Images as embedding maps and minimal surfaces: movies, color, and volumetric medical images
A general geometrical framework for image processing is presented. We consider intensity images as surfaces in the (x I) space. The image is thereby a two dimensional surface in t...
Ron Kimmel, Ravi Malladi, Nir A. Sochen