1439 search results - page 4 / 288 » Bagging with Adaptive Costs |
CVPR
2012
IEEE
11 years 10 months ago
2012
IEEE
Multiple Instance Learning (MIL) has been widely exploited in many computer vision tasks, such as image retrieval, object tracking and so on. To handle ambiguity of instance label...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
In online tracking, the tracker evolves to reflect variations in object appearance and surroundings. This updating process is formulated as a supervised learning problem, thus a ...
ICRA
2007
IEEE
14 years 1 months ago
2007
IEEE
— Localization for low cost humanoid or animal-like personal robots has to rely on cheap sensors and has to be robust to user manipulations of the robot. We present a visual loca...
ECML
2007
Springer
14 years 1 months ago
2007
Springer
In this paper, we propose a new and general preprocessor algorithm, called CSRoulette, which converts any cost-insensitive classification algorithms into cost-sensitive ones. CSRou...
JMLR
2010
13 years 6 months ago
2010
Bagging is a simple way to combine estimates in order to improve their performance. This method, suggested by Breiman in 1996, proceeds by resampling from the original data set, c...