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» Interval Computations in Computer Vision
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ECCV
2008
Springer
16 years 8 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
CVPR
2007
IEEE
16 years 9 months ago
Robust Local Features and their Application in Self-Calibration and Object Recognition on Embedded Systems
In recent years many powerful Computer Vision algorithms have been invented, making automatic or semiautomatic solutions to many popular vision tasks, such as visual object recogn...
Clemens Arth, Christian Leistner, Horst Bischof
CONCUR
2000
Springer
15 years 11 months ago
Verifying Quantitative Properties of Continuous Probabilistic Timed Automata
Abstract. We consider the problem of automatically verifying realtime systems with continuously distributed random delays. We generalise probabilistic timed automata introduced in ...
Marta Z. Kwiatkowska, Gethin Norman, Roberto Segal...
DAGSTUHL
2008
15 years 8 months ago
Extending the Range of C-XSC: Some Tools and Applications for the use in Parallel and other Environments
We present some examples of extensions for C-XSC that have been developed lately. Among these are extensions that give access to further hardware and software environments as well ...
Markus Grimmer
CVPR
2003
IEEE
16 years 9 months ago
A Road Sign Recognition System Based on Dynamic Visual Model
We propose a computational model motivated by human cognitive processes for detecting changes of driving environments. The model, call dynamic visual model, consists of three majo...
C. Y. Fang, C. S. Fuh, S. W. Chen, P. S. Yen