Abstract. Learning-based approaches have become increasingly practical in medical imaging. For a supervised learning strategy, the quality of the trained algorithm (usually a class...
Juan Eugenio Iglesias, Cheng-Yi Liu, Paul M. Thomp...
Modern IDEs for object-oriented languages like Java provide support for a basic set of simple automated refactorings whose behaviour is easy to describe intuitively. It is, howeve...
The problem of polysemy involves having terms, such as “truck”, that refer to multiple concepts in different contexts; and conversely, having the same concept referred to with...
— We propose a randomized data mining method that finds clusters of spatially overlapping images. The core of the method relies on the min-Hash algorithm for fast detection of p...
We introduce Bayesian Expansion (BE), an approximate numerical technique for passage time distribution analysis in queueing networks. BE uses a class of Bayesian networks to appro...