327 search results - page 10 / 66 » A Spectral Approach to Learning Structural Variations in Gra... |
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
This paper examines the problem of extracting lowdimensional manifold structure given millions of highdimensional face images. Specifically, we address the computational challenge...
NIPS
2001
13 years 8 months ago
2001
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...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
The structure of a Markov network is typically learned using top-down search. At each step, the search specializes a feature by conjoining it to the variable or feature that most ...
SIGGRAPH
2009
ACM
14 years 1 months ago
2009
ACM
Spectral methods for mesh processing and analysis rely on the eigenvalues, eigenvectors, or eigenspace projections derived from appropriately defined mesh operators to carry out ...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
We apply classic online learning techniques similar to the perceptron algorithm to the problem of learning a function defined on a graph. The benefit of our approach includes simp...