(Hyper)-Graphs Inference through Convex Relaxations and Move Making Algorithms: Contributions and Applications in Artificial Vision (Foundations and Trends(r) in Computer Graphics and Vision)
(Hyper)-Graphs Inference through Convex Relaxations and Move Making Algorithms: Contributions and Applications in Artificial Vision (Foundations and Trends(r) in Computer Graphics and Vision)
This monograph provides an overview of state of the art methods for inference in the field of computer vision, as well as the most recent advances in that direction using move making algorithms and convex relations. It presents a short review of the most representative inference methods, before going on to look at move making algorithms.
| Author: Nikos Komodakis, M. Pawan Kumar, Nikos Paragios