102 search results - page 4 / 21 » Multi-Label Learning with Weak Label |
CVPR
2012
IEEE
11 years 8 months ago
2012
IEEE
We address the problem of weakly supervised semantic segmentation. The training images are labeled only by the classes they contain, not by their location in the image. On test im...
ACL
2011
12 years 9 months ago
2011
Information extraction (IE) holds the promise of generating a large-scale knowledge base from the Web’s natural language text. Knowledge-based weak supervision, using structured...
CEC
2008
IEEE
13 years 7 months ago
2008
IEEE
This article presents results from experiments where a detector for defects in visual inspection images was learned from scratch by EANT2, a method for evolutionary reinforcement l...
ICML
2001
IEEE
14 years 6 months ago
2001
IEEE
We call data weakly labeled if it has no exact label but rather a numerical indication of correctness of the label "guessed" by the learning algorithm - a situation comm...
JMLR
2010
13 years 16 days ago
2010
In this paper, we present an overview of generalized expectation criteria (GE), a simple, robust, scalable method for semi-supervised training using weakly-labeled data. GE fits m...