468 search results - page 29 / 94 » Riemannian Manifold Learning |
ICPR
2010
IEEE
13 years 7 months ago
2010
IEEE
—This paper presents a method to find salient image points in images with regular patterns based on deviations from the overall manifold structure. The two main contributions ar...
AAAI
2010
13 years 9 months ago
2010
We present an interactive learning method that enables a user to iteratively refine a regression model. The user examines the output of the model, visualized as the vertical axis ...
ICPR
2006
IEEE
14 years 8 months ago
2006
IEEE
We present here an approach for applying the technique of modeling data transformation manifolds for invariant learning with kernel methods. The approach is based on building a ke...
ISBI
2008
IEEE
14 years 2 months ago
2008
IEEE
A stratification and manifold learning approach for analyzing High Angular Resolution Diffusion Imaging (HARDI) data is introduced in this paper. HARDI data provides highdimensio...
MICCAI
2007
Springer
14 years 8 months ago
2007
Springer
This paper proposes to use the Laplace-Beltrami spectrum (LBS) as a global shape descriptor for medical shape analysis, allowing for shape comparisons using minimal shape preproces...