32 search results - page 1 / 7 » Regularization and Semi-supervised Learning on Large Graphs |
NIPS
2007
13 years 9 months ago
2007
Semi-supervised methods use unlabeled data in addition to labeled data to construct predictors. While existing semi-supervised methods have shown some promising empirical performa...
ICMCS
2007
IEEE
14 years 2 months ago
2007
IEEE
In this paper, we present a regularization approach on discrete graph spaces for perceptual image segmentation via semisupervised learning. In this approach, first, a spectral cl...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
In this paper, we address the scalability issue plaguing graph-based semi-supervised learning via a small number of anchor points which adequately cover the entire point cloud. Cr...
ADMA
2009
Springer
14 years 2 months ago
2009
Springer
Image spam is a new trend in the family of email spams. The new image spams employ a variety of image processing technologies to create random noises. In this paper, we propose a s...
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
Many semi-supervised learning algorithms only
deal with binary classification. Their extension to the
multi-class problem is usually obtained by repeatedly
solving a set of bina...