1439 search results - page 6 / 288 » Bagging with Adaptive Costs |
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
In multiple instance learning (MIL), how the instances determine the bag-labels is an essential issue, both algorithmically and intrinsically. In this paper, we show that the mech...
ECML
2003
Springer
14 years 26 days 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...
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
Over the past decade, multiple-instance learning (MIL)
has been successfully utilized to model the localized
content-based image retrieval (CBIR) problem, in which a
bag corresp...
MIR
2004
ACM
14 years 1 months ago
2004
ACM
In this paper, we propose an autonomous learning scheme to automatically build visual semantic concept models from the output data of Internet search engines without any manual la...
AWPN
2008
13 years 9 months ago
2008
When adapting services in a SOA environment, not only the validity of the adapter may be of importance, but also non-functional properties like the costs of the adapter. We introdu...