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ECCV
2008
Springer
14 years 10 months ago
SERBoost: Semi-supervised Boosting with Expectation Regularization
The application of semi-supervised learning algorithms to large scale vision problems suffers from the bad scaling behavior of most methods. Based on the Expectation Regularization...
Amir Saffari, Helmut Grabner, Horst Bischof
ICCV
2007
IEEE
14 years 10 months ago
Geolocating Static Cameras
A key problem in widely distributed camera networks is geolocating the cameras. This paper considers three scenarios for camera localization: localizing a camera in an unknown env...
Nathan Jacobs, Scott Satkin, Nathaniel Roman, Robe...
WACV
2008
IEEE
14 years 3 months ago
Tracking and Segmentation of Highway Vehicles in Cluttered and Crowded Scenes
Monitoring highway traffic is an important application of computer vision research. In this paper, we analyze congested highway situations where it is difficult to track individ...
Goo Jun, J. K. Aggarwal, Muhittin Gökmen
ICPR
2006
IEEE
14 years 9 months ago
A 'No Panacea Theorem' for Multiple Classifier Combination
We introduce the `No Panacea Theorem' for classifier combination in the two-classifier, two-class case. It states that if the combination function is continuous and diverse, ...
Robert I. Damper, Roland Hu
BMVC
2010
13 years 6 months ago
Deterministic Sample Consensus with Multiple Match Hypotheses
RANSAC (Random Sample Consensus) is a popular and effective technique for estimating model parameters in the presence of outliers. Efficient algorithms are necessary for both fram...
Paul McIlroy, Edward Rosten, Simon Taylor, Tom Dru...