7 search results - page 1 / 2 » Laplace-Beltrami Eigenfunctions Towards an Algorithm That |
SMI
2006
IEEE
13 years 11 months ago
2006
IEEE
One of the challenges in geometry processing is to automatically reconstruct a higher-level representation from raw geometric data. For instance, computing a parameterization of a...
MICCAI
2009
Springer
14 years 6 months ago
2009
Springer
For the automated analysis of cortical morphometry, it is critical to develop robust descriptions of the position of anatomical structures on the convoluted cortex. Using the eigen...
CORR
2010
Springer
13 years 4 months ago
2010
Springer
The Laplace-Beltrami operator of a smooth Riemannian manifold is determined by the Riemannian metric. Conversely, the heat kernel constructed from its eigenvalues and eigenfunctio...
COLT
2005
Springer
13 years 11 months ago
2005
Springer
In recent years manifold methods have attracted a considerable amount of attention in machine learning. However most algorithms in that class may be termed “manifold-motivatedâ€...
ICML
2005
IEEE
14 years 6 months ago
2005
IEEE
This paper presents a novel framework called proto-reinforcement learning (PRL), based on a mathematical model of a proto-value function: these are task-independent basis function...