Principled asymmetric boosting approaches to rapid training and classification in face detection

• Main Author: Pham, Minh Tri
• Other Authors: Cham Tat Jen
• Format: Theses and Dissertations
• Language: English
• Published: 2009
• Subjects: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition
• Online Access: https://hdl.handle.net/10356/15664
• Institution: Nanyang Technological University

Asymmetric boosting, while acknowledged to be important to imbalanced classification problems like face detection, is often based on the trial-and-error methodology to obtain the best boosted classifier, rather than on principled methods. This thesis solves a number of issues related to asymmetric b...