CVPR
2006
IEEE
15 years 1 months ago
2006
IEEE
Dimensionality reduction involves mapping a set of high dimensional input points onto a low dimensional manifold so that "similar" points in input space are mapped to ne...
CVPR
2005
IEEE
15 years 1 months ago
2005
IEEE
Dimensionality reduction via feature projection has been widely used in pattern recognition and machine learning. It is often beneficial to derive the projections not only based o...
CVPR
2005
IEEE
15 years 1 months ago
2005
IEEE
In the last decades, a large family of algorithms supervised or unsupervised; stemming from statistic or geometry theory have been proposed to provide different solutions to the p...
CVPR
2005
IEEE
15 years 1 months ago
2005
IEEE
ICCV
2009
IEEE
15 years 4 months ago
2009
IEEE
We present a manifold learning approach to dimensionality
reduction that explicitly models the manifold as a mapping
from low to high dimensional space. The manifold is
represen...
0
posts
with
0
views
0
views
Homepage