733 search results - page 2 / 147 » Learning Riemannian Metrics |
CVIU
2011
12 years 11 months ago
2011
In this paper, we tackle the problem of embedding a set of relational structures into a metric space for purposes of matching and categorisation. To this end, we view the problem ...
ISVC
2005
Springer
14 years 28 days ago
2005
Springer
In this paper we explicitly derive a level set formulation for mean curvature flow in a Riemannian metric space. This extends the traditional geodesic active contour framework whi...
IJON
2002
13 years 7 months ago
2002
We study the relation between maps of a high-dimensional stimulus manifold onto an essentially two-dimensional cortical area and low-dimensional maps of stimulus features such as ...
CORR
2010
Springer
13 years 6 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...
PAMI
2008
13 years 7 months ago
2008
Recently, manifold learning has been widely exploited in pattern recognition, data analysis, and machine learning. This paper presents a novel framework, called Riemannian manifold...