421 search results - page 3 / 85 » Reducing Label Complexity by Learning From Bags |
APIN
2005
14 years 9 months ago
2005
In multi-instance learning, the training set comprises labeled bags that are composed of unlabeled instances, and the task is to predict the labels of unseen bags. In this paper, ...
100
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CVPR
2011
IEEE
14 years 5 months ago
2011
IEEE
We propose a new learning method which exploits temporal consistency to successfully learn a complex appearance model from a sparsely labeled training video. Our approach consists...
CEAS
2006
Springer
15 years 1 months ago
2006
Springer
One of the biggest challenges in building effective anti-spam solutions is designing systems to defend against the everevolving bag of tricks spammers use to defeat them. Because ...
ICCV
2003
IEEE
15 years 11 months ago
2003
IEEE
We present a computational framework capable of labeling the effort of an action corresponding to the perceived level of exertion by the performer (low ? high). The approach initi...
104
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NPL
2006
14 years 9 months ago
2006
In multi-instance learning, the training examples are bags composed of instances without labels, and the task is to predict the labels of unseen bags through analyzing the training...