468 search results - page 11 / 94 » Riemannian Manifold Learning |
ICIP
2006
IEEE
14 years 9 months ago
2006
IEEE
This paper presents a new diffusion scheme on statistical manifolds for the detection of texture boundaries. The technique derives from our previous work, in which 2-dimensional R...
AMDO
2006
Springer
13 years 11 months ago
2006
Springer
We present a method to extract principal deformation modes from a set of articulated models describing the human spine. The spine was expressed as a set of rigid transforms that su...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
In this work we take a novel view of nonlinear manifold learning. Usually, manifold learning is formulated in terms of finding an embedding or `unrolling' of a manifold into ...
FOCM
2002
13 years 7 months ago
2002
We consider the Riemannian geometry defined on a convex set by the Hessian of a selfconcordant barrier function, and its associated geodesic curves. These provide guidance for the...
ECCV
2010
Springer
13 years 12 months ago
2010
Springer
Manifolds are widely used to model non-linearity arising in a range of computer vision applications. This paper treats statistics on manifolds and the loss of accuracy occurring wh...