330 search results - page 35 / 66 » Self-taught learning: transfer learning from unlabeled data |
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
An intuitive approach to utilizing unlabeled data in kernel-based classification algorithms is to simply treat unknown labels as additional optimization variables. For marginbased...
AIRS
2010
Springer
13 years 5 months ago
2010
Springer
Many tasks of information extraction or natural language processing have a property that the data naturally consist of several views--disjoint subsets of features. Specifically, a ...
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
This paper presents a nonparametric approach to labeling
of local image regions that is inspired by recent developments
in information-theoretic denoising. The chief novelty
of ...
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
Multi-view algorithms, such as co-training and co-EM, utilize unlabeled data when the available attributes can be split into independent and compatible subsets. Co-EM outperforms ...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
The goal of semi-supervised image segmentation is to obtain the segmentation from a partially labeled image. By utilizing the image manifold structure in labeled and unlabeled pix...