9 search results - page 2 / 2 » Semi-Supervised Learning by Mixed Label Propagation |
IJCAI
2007
13 years 6 months ago
2007
This paper proposes and develops a new graph-based semi-supervised learning method. Different from previous graph-based methods that are based on discriminative models, our method...
ICML
2003
IEEE
14 years 6 months ago
2003
IEEE
An approach to semi-supervised learning is proposed that is based on a Gaussian random field model. Labeled and unlabeled data are represented as vertices in a weighted graph, wit...
ICML
2006
IEEE
14 years 6 months ago
2006
IEEE
Quadratic program relaxations are proposed as an alternative to linear program relaxations and tree reweighted belief propagation for the metric labeling or MAP estimation problem...
CVPR
2007
IEEE
14 years 7 months ago
2007
IEEE
Considerable advances have been made in learning to recognize and localize visual object classes. Simple bag-offeature approaches label each pixel or patch independently. More adv...