3 search results - page 1 / 1 » Unsupervised Maximum Margin Feature Selection with Manifold ... |
159
Voted
CVPR
2009
IEEE
16 years 10 months ago
2009
IEEE
Feature selection plays a fundamental role in many pattern
recognition problems. However, most efforts have been
focused on the supervised scenario, while unsupervised feature
s...
155
Voted
TNN
2010
14 years 9 months ago
2010
We consider the problem of semi-supervised feature selection, where we are given a small amount of labeled examples and a large amount of unlabeled examples. Since a small number ...
144
Voted
NIPS
2001
15 years 4 months ago
2001
High dimensional data that lies on or near a low dimensional manifold can be described by a collection of local linear models. Such a description, however, does not provide a glob...