468 search results - page 4 / 94 » Riemannian Manifold Learning |
CVPR
2008
IEEE
14 years 8 months ago
2008
IEEE
The geometric median is a classic robust estimator of centrality for data in Euclidean spaces. In this paper we formulate the geometric median of data on a Riemannian manifold as ...
MM
2004
ACM
13 years 11 months ago
2004
ACM
We consider the problem of learning a mapping function from low-level feature space to high-level semantic space. Under the assumption that the data lie on a submanifold embedded ...
ICIP
1998
IEEE
13 years 10 months ago
1998
IEEE
1 In this paper, the segmentation problem is formulated as a problem of segmenting a Riemannian manifold. The image domain is endowed with an anisotropic metric and its segmentatio...
ICML
2005
IEEE
14 years 6 months ago
2005
IEEE
This paper presents a novel framework called proto-reinforcement learning (PRL), based on a mathematical model of a proto-value function: these are task-independent basis function...
FOCM
2007
13 years 6 months ago
2007
A general scheme for trust-region methods on Riemannian manifolds is proposed and analyzed. Among the various approaches available to (approximately) solve the trust-region subpro...