Erik Sudderth - Learning Hierarchical, Nonparametric Models for Visual Scenes

http://www.researchchannel.org/prog/displayevent.aspx?rID=24390&fID=345

Computer vision systems use image features to detect and categorize objects in visual scenes. In this University of Washington program, learn about Erik Sudderth MIT/UC Berkeley research that explores hierarchical models using contextual and geometric relationships for more effective learning from large, partially labeled image databases.