27 search results - page 2 / 6 » Experiments with AdaBoost.RT, an Improved Boosting Scheme fo... |
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
A general framework is proposed for gradient boosting in supervised learning problems where the loss function is defined using a kernel over the output space. It extends boosting ...
ECML
2006
Springer
14 years 7 days ago
2006
Springer
Abstract. Conditional Random Fields (CRFs) provide a powerful instrument for labeling sequences. So far, however, CRFs have only been considered for labeling sequences over flat al...
CVPR
2011
IEEE
13 years 9 days ago
2011
IEEE
Object localization is a challenging problem due to variations in object’s structure and illumination. Although existing part based models have achieved impressive progress in t...
CVPR
2008
IEEE
14 years 10 months ago
2008
IEEE
Because of the large variation across different environments, a generic classifier trained on extensive data-sets may perform sub-optimally in a particular test environment. In th...
FAST
2009
13 years 6 months ago
2009
User I/O intensity can significantly impact the performance of on-line RAID reconstruction due to contention for the shared disk bandwidth. Based on this observation, this paper p...