19 search results - page 1 / 4 » Exploiting Relations Among Concepts to Acquire Weakly Labele... |
ICML
2002
IEEE
14 years 5 months ago
2002
IEEE
ICCV
2007
IEEE
14 years 6 months ago
2007
IEEE
In many vision problems, instead of having fully labeled training data, it is easier to obtain the input in small groups, where the data in each group is constrained to be from th...
NIPS
2008
13 years 6 months ago
2008
The cluster assumption is exploited by most semi-supervised learning (SSL) methods. However, if the unlabeled data is merely weakly related to the target classes, it becomes quest...
ACL
2009
13 years 2 months ago
2009
Creating labeled training data for relation extraction is expensive. In this paper, we study relation extraction in a special weakly-supervised setting when we have only a few see...
MM
2009
ACM
13 years 11 months ago
2009
ACM
In this paper, we exploit the problem of inferring images’ semantic concepts from community-contributed images and their associated noisy tags. To infer the concepts more accura...