Simple binary patterns have been successfully used for extracting feature representations for visual object classification. In this paper, we present a method to learn a set of d...
Background: Profile HMMs (hidden Markov models) provide effective methods for modeling the conserved regions of protein families. A limitation of the resulting domain models is th...
Abstract. The upper-level ontologies are theories that capture the most common concepts, which are relevant for many of the tasks involving knowledge extraction, representation, an...
A previously proposed Keyword Search paradigm produces, as a query result, a ranked list of Object Summaries (OSs); each OS summarizes all data held in a relational database about ...
Typically, users submit very simple search queries to digital document data collections. Often these queries can result in extremely broad answers or answers in which document rel...