title: Unsupervised object segmentation with a hybrid graph model (HGM).
authors.affiliation: Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, PR China. roth@sjtu.edu.cn
authors.forename: Guangcan
authors.initials: G
authors.lastname: Liu
authors.forename: Zhouchen
authors.initials: Z
authors.lastname: Lin
authors.forename: Yong
authors.initials: Y
authors.lastname: Yu
authors.forename: Xiaoou
authors.initials: X
authors.lastname: Tang
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D003198:Computer Simulation; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008962:Models, Theoretical; D010363:Pattern Recognition, Automated / Q000379:methods*; D013382:Subtraction Technique