750 search results - page 141 / 150 » Learning SVMs from Sloppily Labeled Data |
ICDM
2009
IEEE
14 years 5 months ago
2009
IEEE
Although mixed-membership models have achieved great success in unsupervised learning, they have not been widely applied to classification problems. In this paper, we propose a f...
ECCV
2010
Springer
14 years 4 months ago
2010
Springer
Many learning tasks for computer vision problems can be described by multiple views or multiple features. These views can be exploited in order to learn from unlabeled data, a.k.a....
CVPR
2007
IEEE
15 years 23 days ago
2007
IEEE
Class syntax can be used to 1) model temporal or locational evolvement of class labels of feature observation sequences, 2) correct classification errors of static classifiers if ...
ECCV
2006
Springer
15 years 19 days ago
2006
Springer
Abstract. Figure/ground assignment is a key step in perceptual organization which assigns contours to one of the two abutting regions, providing information about occlusion and all...
IJCAI
2003
14 years 4 days ago
2003
We present a description of three different algorithms that use background knowledge to improve text classifiers. One uses the background knowledge as an index into the set of tra...