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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. Pham Minh Tri Ph.D. Candidate and Research Associate Nanyang Technological University, Singapore. Outline. Motivation Contributions Fast Weak Classifier Learning

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