496 search results - page 6 / 100 » Semi-Supervised Learning of Mixture Models |
ICMCS
2006
IEEE
14 years 4 months ago
2006
IEEE
For automatic semantic annotation of large-scale video database, the insufficiency of labeled training samples is a major obstacle. General semi-supervised learning algorithms can...
JMLR
2012
12 years 1 months ago
2012
In this paper we propose a new approach for semi-supervised structured output learning. Our approach uses relaxed labeling on unlabeled data to deal with the combinatorial nature ...
ACL
2008
14 years 9 days ago
2008
This paper presents a semi-supervised training method for linear-chain conditional random fields that makes use of labeled features rather than labeled instances. This is accompli...
NLPRS
2001
Springer
14 years 3 months ago
2001
Springer
Recent research in automated learning has focused on algorithms that learn from a combination of tagged and untagged data. Such algorithms can be referred to as semi-supervised in...
CVPR
2005
IEEE
15 years 26 days ago
2005
IEEE
For large scale automatic semantic video characterization, it is necessary to learn and model a large number of semantic concepts. But a major obstacle to this is the insufficienc...