While the majority of competitive image segmentation methods are based on energy minimization, only few allow to efficiently determine globally optimal solutions. A graphtheoretic...
Abstract: This paper surveys global illumination algorithms for environments including participating media and accounting for multiple scattering. The objective of this survey is t...
This paper presents a global approach for constructing high dynamic range mosaic from multiple images with large exposure differences. By relating image intensities to scene radian...
We present a global joint model for lemmatization and part-of-speech prediction. Using only morphological lexicons and unlabeled data, we learn a partiallysupervised part-of-speec...
We propose a probabilistic generative model for unsupervised semantic role induction, which integrates local role assignment decisions and a global role ordering decision in a uni...