189 search results - page 3 / 38 » Unsupervised Nonlinear Manifold Learning |
ICMCS
2005
IEEE
13 years 11 months ago
2005
IEEE
ABSTRACT In this paper, we report our experiments using a realworld image dataset to examine the effectiveness of Isomap, LLE and KPCA. The 1,897-image dataset we used consists of ...
JMLR
2010
13 years 4 months ago
2010
Nonlinear dimensionality reduction methods are often used to visualize high-dimensional data, although the existing methods have been designed for other related tasks such as mani...
FGR
2004
IEEE
13 years 9 months ago
2004
IEEE
Faces under varying illumination, pose and non-rigid deformation are empirically thought of as a highly nonlinear manifold in the observation space. How to discover intrinsic low-...
ICCV
2007
IEEE
14 years 7 months ago
2007
IEEE
CVPR
2008
IEEE
14 years 7 months ago
2008
IEEE
We consider the problem of dimensionality reduction, where given high-dimensional data we want to estimate two mappings: from high to low dimension (dimensionality reduction) and f...