Statistical topic models provide a general data-driven framework for automated discovery of high-level knowledge from large collections of text documents. While topic models can p...
Chaitanya Chemudugunta, Padhraic Smyth, Mark Steyv...
This work addresses the use of computational linguistic analysis techniques for conceptual graphs learning from unstructured texts. A technique including both content mining and i...
In many application scenarios, the use of Regions of Interest (ROIs) within video sequences is a useful concept. It is shown in this paper how Flexible Macroblock Ordering (FMO), d...
Peter Lambert, Davy De Schrijver, Davy Van Deursen...
Failure in visual communication between the author and the colorblind reader is caused when color effects that the author expects for the reader to experience are not observed by...
It has been shown that people encounter difficulties in using representations and devices designed to assist navigating unfamiliar terrain. Literature review and self-reported vis...