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Principled Asymmetric Boosting Approaches to Rapid Training and Classification in Face Detection

Principled Asymmetric Boosting Approaches to Rapid Training and Classification in Face Detection. presented by. Minh-Tri Pham Ph.D. Candidate and Research Associate Nanyang Technological University, Singapore. Outline. Motivation Contributions Automatic Selection of Asymmetric Goal

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Principled Asymmetric Boosting Approaches to Rapid Training and Classification in Face Detection