We present a novel stereo vision modeling framework that generates approximate, yet physically-plausible representations of objects rather than creating accurate models that are c...
Krishnanand N. Kaipa, Josh C. Bongard, Andrew N. M...
Most studies in statistical or machine learning based authorship attribution focus on two or a few authors. This leads to an overestimation of the importance of the features extra...
With the growing popularity of the web, large volumes of data are gathered automatically by Web Servers and collected into access log files. Analysis of such files is generally cal...
Web extraction systems attempt to use the immense amount of unlabeled text in the Web in order to create large lists of entities and relations. Unlike traditional IE methods, the ...
There is a large amount of data that is published on the Web and several techniques have been developed to extract and integrate data from Web sources. However, Web data are inhere...
Lorenzo Blanco, Valter Crescenzi, Paolo Merialdo, ...