Previous studies on multi-instance learning typically treated instances in the bags as independently and identically distributed. The instances in a bag, however, are rarely indep...
In this paper, we present a robust feature extraction framework based on informationtheoretic learning. Its formulated objective aims at simultaneously maximizing the Renyi's...
Crosscutting concerns can hinder maintainability of a design because they do not adhere to a system's underlying modular structure. Developers, therefore, may wish to refacto...
Eduardo Figueiredo, Jon Whittle, Alessandro F. Gar...
We study the problem of querying data sources that accept only a limited set of queries, such as sources accessible by Web services which can implement very large (potentially inf...
Computing an equi-join followed by a duplicate eliminating projection is conventionally done by performing the two operations in serial. If some join attribute is projected away t...