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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


Department of Electrical and Computer Systems Engineering Technical Report MECSE
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Document Date: 2005-03-30 03:00:23

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File Size: 671,97 KB

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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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