335 search results - page 7 / 67 » Neighborly Embedded Manifolds |
ICIP
2008
IEEE
14 years 10 months ago
2008
IEEE
In this paper, we focus on the use of random projections as a dimensionality reduction tool for sampled manifolds in highdimensional Euclidean spaces. We show that geodesic paths ...
VLSISP
2010
13 years 7 months ago
2010
Abstract In case of insufficient data samples in highdimensional classification problems, sparse scatters of samples tend to have many ‘holes’—regions that have few or no nea...
CVPR
2010
IEEE
14 years 4 months ago
2010
IEEE
We propose a new family of algorithms for denoising data assumed to lie on a low-dimensional manifold. The algorithms are based on the blurring mean-shift update, which moves each...
ICPR
2008
IEEE
14 years 3 months ago
2008
IEEE
For a finite set of points lying on a lower dimensional manifold embedded in a high-dimensional data space, algorithms have been developed to study the manifold structure. Howeve...
MLDM
2005
Springer
14 years 2 months ago
2005
Springer
In this paper we describe a new cluster model which is based on the concept of linear manifolds. The method identifies subsets of the data which are embedded in arbitrary oriented...