Sequential random sampling (`Markov Chain Monte-Carlo') is a popular strategy for many vision problems involving multimodal distributions over high-dimensional parameter spac...
This paper presents a method for estimating uncertainty in MRI-based brain region delineations provided by fully-automated segmentation methods. In large data sets, the uncertainty...
Karl R. Beutner, Gautam Prasad, Evan Fletcher, Cha...
The phenomenon of sponsored search advertising is gaining ground as the largest source of revenues for search engines. Firms across different industries have are beginning to adop...
In this paper, we propose a novel hybrid QRD-MCMC MIMO detector that combines the feature of a QRD-M detector and a Markov chain Monte Carlo (MCMC) detector. The QRD-M algorithm i...
Ronghui Peng, Koon Hoo Teo, Jinyun Zhang, Rong-Ron...
Model counting is the classical problem of computing the number of solutions of a given propositional formula. It vastly generalizes the NP-complete problem of propositional satis...