468 search results - page 11 / 94 » Riemannian Manifold Learning |
84
Voted
ICIP
2006
IEEE
15 years 11 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...
67
Voted
AMDO
2006
Springer
15 years 1 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...
103
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ICML
2007
IEEE
15 years 10 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 ...
65
Voted
FOCM
2002
14 years 9 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
15 years 2 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...