733 search results - page 39 / 147 » Learning Riemannian Metrics |
ECML
2006
Springer
14 years 11 days ago
2006
Springer
A critical problem in clustering research is the definition of a proper metric to measure distances between points. Semi-supervised clustering uses the information provided by the ...
CVPR
2007
IEEE
14 years 10 months ago
2007
IEEE
In this note, we propose a method to perform segmentation on the tensor manifold, that is, the space of positive definite matrices of given dimension. In this work, we explicitly ...
MICCAI
2009
Springer
14 years 6 months ago
2009
Springer
Abstract. Here we introduce multivariate tensor-based surface morphometry using holomorphic one-forms to study brain anatomy. We computed new statistics from the Riemannian metric ...
ECCV
2010
Springer
14 years 1 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...
CVPR
1996
IEEE
14 years 26 days ago
1996
IEEE
A new boundary detection approach for shape modeling is presented. It detects the global minimum of an active contour model's energy between two end points. Initialization is ...