• Fast Asymmetric Learning for Cascade Face Detection 

      Wu, Jianxin; Brubaker, S. Charles; Mullin, Matthew D.; Rehg, James M. (Georgia Institute of Technology, 2005)
      A cascade face detector uses a sequence of node classifiers to distinguish faces from non-faces. This paper presents a new approach to design node classifiers in the cascade detector. Previous methods used machine learning ...
    • Learning a Rare Event Detection Cascade by Direct Feature Selection 

      Wu, Jianxin; Rehg, James Matthew; Mullin, Matthew D. (Georgia Institute of Technology, 2003)
      Face detection is a canonical example of a rare event detection problem, in which target patterns occur with much lower frequency than non-targets. Out of millions of face-sized windows in an input image, for example, only ...
    • On the Design of Cascades of Boosted Ensembles for Face Detection 

      Brubaker, S. Charles; Wu, Jianxin; Sun, Jie; Mullin, Matthew D.; Rehg, James M. (Georgia Institute of Technology, 2005)
      Cascades of boosted ensembles have become popular in the object detection community following their highly successful introduction in the face detector of Viola and Jones. Since then, researchers have sought to improve ...