The most acute information management challenges today stem from organizations relying on a large number of diverse, interrelated data sources, but having no means of managing the...
As part of the Illinois Digital Library Initiative (DLI) project we developed “scalable semantics” technologies. These statistical techniques enabled us to index large collect...
Yi-Ming Chung, Qin He, Kevin Powell, Bruce R. Scha...
Duplicate and near-duplicate digital image matching is beneficial for image search in terms of collection management, digital content protection, and search efficiency. In this ...
In history and the other humanities, events and narrative sequences of events are often of primary interest. Yet while named events sometimes appear as subject headings, systems f...
We present a mixture model based approach for learning individualized behavior models for the Web users. We investigate the use of maximum entropy and Markov mixture models for ge...