342 search results - page 13 / 69 » Learning from Ambiguously Labeled Images |
ML
2008
ACM
13 years 8 months ago
2008
ACM
Label ranking studies the problem of learning a mapping from instances to rankings over a predefined set of labels. Hitherto existing approaches to label ranking implicitly operat...
CVPR
2012
IEEE
11 years 11 months ago
2012
IEEE
Multiple Instance Learning (MIL) has been widely exploited in many computer vision tasks, such as image retrieval, object tracking and so on. To handle ambiguity of instance label...
ECCV
2010
Springer
14 years 29 days ago
2010
Springer
Abstract. In this paper we investigate the problem of exploiting multiple sources of information for object recognition tasks when additional modalities that are not present in the...
CVPR
2009
IEEE
15 years 3 months ago
2009
IEEE
Multi-instance multi-label learning (MIML) refers to the
learning problems where each example is represented by a
bag/collection of instances and is labeled by multiple labels.
...
CVPR
2008
IEEE
14 years 10 months ago
2008
IEEE
Systematic content screening of cell phenotypes in microscopic images has been shown promising in gene function understanding and drug design. However, manual annotation of cells ...