There has been several attempts over the years to solve the bisimulation minimization problem for finite automata. One of the most famous algorithms is the one suggested by Paige ...
Parosh Aziz Abdulla, Johann Deneux, Lisa Kaati, Ma...
In many application domains there is a large amount of unlabeled data but only a very limited amount of labeled training data. One general approach that has been explored for util...
Avrim Blum, John D. Lafferty, Mugizi Robert Rweban...
Nearly every structured prediction problem in computer vision requires approximate inference due to large and complex dependencies among output labels. While graphical models prov...
Multi-target tracking requires locating the targets and labeling their identities. The latter is a challenge when many targets, with indistinct appearances, frequently occlude one...
Peter Nillius, Josephine Sullivan, Stefan Carlsson
Abstract. Reasoning about social networks (labeled, directed, weighted graphs) is becoming increasingly important and there are now models of how certain phenomena (e.g. adoption o...
Paulo Shakarian, V. S. Subrahmanian, Maria Luisa S...