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CVPR
1998
IEEE

Bagging in Computer Vision

10 years 8 days ago
Bagging in Computer Vision
Previous research has shown that aggregated predictors improve the performance of non-parametric function approximation techniques. This paper presents the results of applying aggregated predictors to a computer vision problem, and shows that the method of bagging signi cantly improves performance. In fact, the results are better than those previously reported on other domains. This paper explains this performance in terms of the variance and bias.
Bruce A. Draper, Kyungim Baek
Added 12 Oct 2009
Updated 12 Oct 2009
Type Conference
Year 1998
Where CVPR
Authors Bruce A. Draper, Kyungim Baek
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