719 search results - page 12 / 144 » Discriminative learning for differing training and test dist... |
89
Voted
CVPR
2007
IEEE
15 years 6 months ago
2007
IEEE
We propose a novel approach for determining if a pair of images match each other under the effect of a highdistortion transformation or non-structural relation. The co-occurrence ...
97
Voted
JCST
2006
14 years 11 months ago
2006
Abstract 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. This pa...
ECML
2003
Springer
15 years 4 months ago
2003
Springer
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. Through analyzin...
DIMVA
2008
15 years 1 months ago
2008
Malicious software in form of Internet worms, computer viruses, and Trojan horses poses a major threat to the security of networked systems. The diversity and amount of its variant...
CVPR
2001
IEEE
16 years 1 months ago
2001
IEEE
All positive examples are alike; each negative example is negative in its own way. During interactive multimedia information retrieval, the number of training samples fed-back by ...