Many applications involve multiple-modalities such as text and images that describe the problem of interest. In order to leverage the information present in all the modalities, on...
Predicting human occupations in photos has great application potentials in intelligent services and systems. However, using traditional classification methods cannot reliably dis...
We propose a novel way to induce a random field from an energy function on discrete labels. It amounts to locally injecting noise to the energy potentials, followed by finding t...
—Social and communication networks across the world generate vast amounts of graph-like data each day. The modeling and prediction of how these communication structures evolve ca...
—The Burrows-Wheeler Transform (BWT) is the basis for many of the most effective compression and selfindexing methods used today. A key to the versatility of the BWT is the abili...
Matthias Petri, Gonzalo Navarro, J. Shane Culpeppe...