22 search results - page 1 / 5 » Clustering and dimensionality reduction on Riemannian manifo... |
CVPR
2008
IEEE
15 years 1 months ago
2008
IEEE
We propose a novel algorithm for clustering data sampled from multiple submanifolds of a Riemannian manifold. First, we learn a representation of the data using generalizations of...
ECCV
2006
Springer
15 years 1 months ago
2006
Springer
In recent years, nonlinear dimensionality reduction (NLDR) techniques have attracted much attention in visual perception and many other areas of science. We propose an efficient al...
PAMI
2008
13 years 11 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...
TSMC
2010
13 years 5 months ago
2010
We study the problem of projecting high-dimensional tensor data on an unspecified Riemannian manifold onto some lower dimensional subspace1 without much distorting the pairwise geo...
CVPR
2007
IEEE
15 years 1 months ago
2007
IEEE
