330 search results - page 14 / 66 » Self-taught learning: transfer learning from unlabeled data |
AAAI
2011
12 years 7 months ago
2011
A common approach in machine learning is to use a large amount of labeled data to train a model. Usually this model can then only be used to classify data in the same feature spac...
NIPS
2003
13 years 9 months ago
2003
We describe a nonparametric Bayesian approach to generalizing from few labeled examples, guided by a larger set of unlabeled objects and the assumption of a latent tree-structure ...
ICMCS
2005
IEEE
14 years 1 months ago
2005
IEEE
Training a good text detector requires a large amount of labeled data, which can be very expensive to obtain. Cotraining has been shown to be a powerful semi-supervised learning t...
IDA
2005
Springer
14 years 1 months ago
2005
Springer
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize the...
CVPR
2006
IEEE
14 years 9 months ago
2006
IEEE
We present a method to automatically learn object categories from unlabeled images. Each image is represented by an unordered set of local features, and all sets are embedded into...