750 search results - page 121 / 150 » Learning SVMs from Sloppily Labeled Data |
128
Voted
CVPR
2010
IEEE
16 years 29 days ago
2010
IEEE
For object category recognition to scale beyond a small number of classes, it is important that algorithms be able to learn from a small amount of labeled data per additional clas...
130
click to vote
ICASSP
2009
IEEE
15 years 11 months ago
2009
IEEE
Discriminative reranking has been able to significantly improve parsing performance, and co-training has proven to be an effective weakly supervised learning algorithm to bootstr...
135
click to vote
PCM
2007
Springer
15 years 10 months ago
2007
Springer
A novel method for creating diverse ensembles of image classifiers is proposed. The idea is that, for each base image classifier in the ensemble, a random image transformation is g...
137
click to vote
ROBOCUP
2005
Springer
15 years 10 months ago
2005
Springer
Color calibration is a time-consuming, and therefore costly requirement for most robot teams at RoboCup. This paper presents an approach for autonomous color learning on-board a mo...
156
Voted
ICCV
2007
IEEE
16 years 6 months ago
2007
IEEE
Many recognition algorithms depend on careful positioning of an object into a canonical pose, so the position of features relative to a fixed coordinate system can be examined. Cu...