![Learning / AdaBoost / Boosting / Statistical classification / Type I and type II errors / Gain / Face detection / Bootstrapping / Boosting methods for object categorization / Ensemble learning / Artificial intelligence / Statistics Learning / AdaBoost / Boosting / Statistical classification / Type I and type II errors / Gain / Face detection / Bootstrapping / Boosting methods for object categorization / Ensemble learning / Artificial intelligence / Statistics](https://www.pdfsearch.io/img/58be3580a4be97d1851d23178b09d116.jpg)
| Document Date: 2005-03-30 03:00:23 Open Document File Size: 671,97 KBShare Result on Facebook
Country Australia / / IndustryTerm neural networks / search strategy / detection algorithms / proposed bootstrapping algorithm / face detection algorithm / face detection algorithms / learning algorithm / learning algorithms / rapid processing / / MarketIndex SET 50 / / Organization Government of Australia / Department of Education / Department of Electrical / / Person Henry Rowley / David Suter / / Position representative / / Technology proposed bootstrapping algorithm / AdaBoost learning algorithm / 3.1 The AdaBoost algorithm / face detection algorithm / AdaBoost face detection algorithm / detection algorithms / AdaBoost algorithm / face detection algorithms / boosting algorithm / bootstrapping algorithm / trained individually using the AdaBoost algorithm / trained using the AdaBoost algorithm / / URL http /
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