Soft biometrics, as a prescreening filter, contribute to a much smaller candidate pool and allow the overall query to perform better and faster. In this paper, we focus on the eff...
An algorithm called Modoc", which has been introduced elsewhere, enhances propositional model elimination with autarky pruning, and other features. The model elimination meth...
In this paper we discuss the potential for semantic search and focus on the most immediate problem toward its realization: the problem of the sparsity and relatively low quality of...
Extracting semantic relationships between entities from text documents is challenging in information extraction and important for deep information processing and management. This ...
We address the problem of efficiently learning Naive Bayes classifiers under classconditional classification noise (CCCN). Naive Bayes classifiers rely on the hypothesis that the ...