Principled asymmetric boosting approaches to rapid training and classification in face detection
Asymmetric boosting, while acknowledged to be important to imbalanced classification problems like face detection, is often based on the trial-and-error methodology to obtain the best boosted classifier, rather than on principled methods. This thesis solves a number of issues related to asymmetric b...
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| Format: | Thesis |
| Language: | English |
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2009
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| Online Access: | https://hdl.handle.net/10356/15664 |