297 search results - page 27 / 60 » Learning from Ambiguously Labeled Examples |
COLT
2003
Springer
14 years 4 months ago
2003
Springer
Abstract. We study the problem of learning partitions using equivalence constraints as input. This is a binary classification problem in the product space of pairs of datapoints. ...
CVPR
2006
IEEE
15 years 29 days ago
2006
IEEE
We consider the general problem of learning from both labeled and unlabeled data. Given a set of data points, only a few of them are labeled, and the remaining points are unlabele...
ICCV
2009
IEEE
15 years 3 months ago
2009
IEEE
Labeling image collections is a tedious task, especially
when multiple labels have to be chosen for each image. In
this paper we introduce a new framework that extends state
of ...
BMCBI
2010
13 years 8 months ago
2010
Background: To exploit the flood of data from advances in high throughput imaging of optically sectioned nuclei, image analysis methods need to correctly detect thousands of nucle...
CVPR
2004
IEEE
15 years 29 days ago
2004
IEEE
We show quite good face clustering is possible for a dataset of inaccurately and ambiguously labelled face images. Our dataset is 44,773 face images, obtained by applying a face f...