Enhanced feature selections of Adaboost training for face detection using genetic algorithm

Enhanced feature selections of Adaboost training for face detection using genetic algorithm

A wide variety of face detection techniques have been proposed over the past decades. Generally, a large number of features are required to be selected for training purposes. Often some of these features are irrelevant and do not contribute directly to the face detection techniques. This creates unn...

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書目詳細資料
主要作者:	Mohd. Zin, Zalhan
格式:	Thesis
語言:	English
出版:	2007
主題:	TK Electrical engineering Electronics Nuclear engineering
在線閱讀:	http://eprints.utm.my/id/eprint/6427/1/ZalhanMohdZinMFKE2007.pdf
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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