We developed a model based on nonparametric Bayesian modeling for automatic discovery of semantic relationships between words taken from a corpus. It is aimed at discovering seman...
This paper demonstrates how unsupervised techniques can be used to learn models of deep linguistic structure. Determining the semantic roles of a verb's dependents is an impo...
The saliency of regions or objects in an image can be significantly boosted if they recur in multiple images. Leveraging this idea, cosegmentation jointly segments common regions...
Gunhee Kim, Eric P. Xing, Li Fei-Fei, Takeo Kanade
This paper explores the concept of micro-architectural loops and discusses their impact on processor pipelines. In particular, we establish the relationship between loose loops an...
Eric Borch, Eric Tune, Srilatha Manne, Joel S. Eme...
We aimed to study the performance of a parallel implementation of an intraoperative nonrigid registration algorithm that accurately simulates the biomechanical properties of the b...
Simon K. Warfield, Matthieu Ferrant, Xavier Gallez...