750 search results - page 60 / 150 » Learning SVMs from Sloppily Labeled Data |
CVPR
2008
IEEE
13 years 9 months ago
2008
IEEE
In real world, an image is usually associated with multiple labels which are characterized by different regions in the image. Thus image classification is naturally posed as both ...
ICDM
2006
IEEE
14 years 3 months ago
2006
IEEE
In active learning, a machine learning algorithm is given an unlabeled set of examples U, and is allowed to request labels for a relatively small subset of U to use for training. ...
ECCV
2010
Springer
14 years 14 days ago
2010
Springer
Advanced surveillance systems for behavior recognition in outdoor traffic scenes depend strongly on the particular configuration of the scenario. Scene-independent trajectory analy...
ICPR
2008
IEEE
14 years 10 months ago
2008
IEEE
Complex simulations can generate very large amounts of data stored disjointly across many local disks. Learning from this data can be problematic due to the difficulty of obtainin...
CVPR
2006
IEEE
14 years 11 months 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...