Multi-instance multi-label learning (MIML) is a framework for supervised classification where the objects to be classified are bags of instances associated with multiple labels....
Much work on skewed, stochastic, high dimensional, and biased datasets usually implicitly solve each problem separately. Recently, we have been approached by Texas Commission on En...
Although tagging has become increasingly popular in online image and video sharing systems, tags are known to be noisy, ambiguous, incomplete and subjective. These factors can ser...
Information and specifically Web pages may be organized, indexed, searched, and navigated using various metadata aspects, such as keywords, categories (themes), and also space. Wh...
Albert Angel, Chara Lontou, Dieter Pfoser, Alexand...
The Web makes it possible for news readers to learn more about virtually any story that interests them. Media outlets and search engines typically augment their information with l...
Francisco Iacobelli, Larry Birnbaum, Kristian J. H...