90 search results - page 3 / 18 » Semi-Supervised Learning with Very Few Labeled Training Exam... |
CVPR
2005
IEEE
14 years 8 months ago
2005
IEEE
Although recent studies have shown that unlabeled data are beneficial to boosting the image retrieval performance, very few approaches for image retrieval can learn with labeled a...
EMNLP
2010
13 years 4 months ago
2010
We describe a new scalable algorithm for semi-supervised training of conditional random fields (CRF) and its application to partof-speech (POS) tagging. The algorithm uses a simil...
ICML
2010
IEEE
13 years 7 months ago
2010
IEEE
We develop a semi-supervised learning method that constrains the posterior distribution of latent variables under a generative model to satisfy a rich set of feature expectation c...
IJCAI
2007
13 years 7 months ago
2007
We describe an approach to extract attribute-value pairs from product descriptions. This allows us to represent products as sets of such attribute-value pairs to augment product d...
IAT
2010
IEEE
13 years 4 months ago
2010
IEEE
Research on opinion detection has shown that a large number of opinion-labeled data are necessary for capturing subtle opinions. However, opinion-labeled data, especially at the su...