22 search results - page 3 / 5 » Clustering and dimensionality reduction on Riemannian manifo... |
CVPR
2007
IEEE
14 years 7 months ago
2007
IEEE
We propose a novel algorithm for segmenting multiple motions of different types from point correspondences in multiple affine or perspective views. Since point trajectories associ...
FGR
2006
IEEE
13 years 11 months ago
2006
IEEE
An unsupervised nonparametric approach is proposed to automatically extract representative face samples (exemplars) from a video sequence or an image set for multipleshot face rec...
CVPR
2008
IEEE
14 years 7 months ago
2008
IEEE
This paper examines the problem of extracting lowdimensional manifold structure given millions of highdimensional face images. Specifically, we address the computational challenge...
ICPR
2008
IEEE
14 years 6 months ago
2008
IEEE
Embedding images into a low dimensional space has a wide range of applications: visualization, clustering, and pre-processing for supervised learning. Traditional dimension reduct...
NN
2002
Springer
13 years 4 months ago
2002
Springer
The self-organising map (SOM) has been successfully employed as a nonparametric method for dimensionality reduction and data visualisation. However, for visualisation the SOM requ...