1174 search results - page 11 / 235 » Boosting for transfer learning |
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
Online boosting methods have recently been used successfully for tracking, background subtraction etc. Conventional online boosting algorithms emphasize on interchanging new weak ...
MLMI
2007
Springer
14 years 1 months ago
2007
Springer
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
Boosting methods are known not to usually overfit training data even as the size of the generated classifiers becomes large. Schapire et al. attempted to explain this phenomenon i...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
Transfer learning can be described as the tion of abstract knowledge from one learning domain or task and the reuse of that knowledge in a related domain or task. In categorizatio...
CVPR
2006
IEEE
14 years 9 months ago
2006
IEEE
Motion estimation for applications where appearance undergoes complex changes is challenging due to lack of an appropriate similarity function. In this paper, we propose to learn ...