42 search results - page 4 / 9 » Distance Approximating Dimension Reduction of Riemannian Man... |
CVPR
2010
IEEE
13 years 7 months ago
2010
IEEE
We apply the concept of natural gradients to deformable registration. The motivation stems from the lack of physical interpretation for gradients of image-based difference measure...
ICIP
2008
IEEE
14 years 11 months ago
2008
IEEE
In this paper, we focus on the use of random projections as a dimensionality reduction tool for sampled manifolds in highdimensional Euclidean spaces. We show that geodesic paths ...
JMLR
2010
13 years 4 months ago
2010
We address instance-based learning from a perceptual organization standpoint and present methods for dimensionality estimation, manifold learning and function approximation. Under...
FGR
2006
IEEE
14 years 3 months ago
2006
IEEE
An unsupervised nonparametric approach is proposed to automatically extract representative face samples (exemplars) from a video sequence or an image set for multipleshot face rec...
CORR
2007
Springer
13 years 9 months ago
2007
Springer
— We propose an axiomatic approach to the concept of an intrinsic dimension of a dataset, based on a viewpoint of geometry of high-dimensional structures. Our first axiom postul...