A novel thresholding algorithm is presented in this paper to improve image segmentation performance at a low computational cost. The proposed algorithm uses a normalized graphcut m...
Wenbing Tao, Hai Jin, Yimin Zhang, Liman Liu, Desh...
Abstract. Concepts in Answer Set Programming (ASP) are normally defined in terms of atoms. We show that the treatment of atoms and bodies (of rules) as equitable computational obje...
Christian Anger, Martin Gebser, Tomi Janhunen, Tor...
Discriminative subgraphs are widely used to define the feature space for graph classification in large graph databases. Several scalable approaches have been proposed to mine disc...
Adaptive predictive search (APS), is a learning system framework, which given little initial domain knowledge, increases its decision-making abilities in complex problems domains....
We study the problem of discovering a manifold that best preserves information relevant to a nonlinear regression. Solving this problem involves extending and uniting two threads ...