Current computational models of bottom-up and top-down components of attention are predictive of eye movements across a range of stimuli and of simple, fixed visual tasks (such a...
In recent years, extraction of temporal relations for events that express sentiments has drawn great attention of the Natural Language Processing (NLP) research communities. In thi...
In this work, we systematically study the problem of visual event recognition in unconstrained news video sequences. We adopt the discriminative kernel-based method for which vide...
ThemeRiver™ is a prototype system that visualizes thematic variations over time within a large collection of documents. The “river” flows from left to right through time, ch...
In this paper we describe a technique for efficient parallelization of digital wave guide network (DWN) models based on an interpretation of the finite difference time domain (F...