Abstract--High-dimensional data are common in many domains, and dimensionality reduction is the key to cope with the curse-of-dimensionality. Linear discriminant analysis (LDA) is ...
This paper proposes a unified framework for zero anaphora resolution, which can be divided into three sub-tasks: zero anaphor detection, anaphoricity determination and antecedent ...
Abstract-- Simultaneously clustering columns and rows (coclustering) of large data matrix is an important problem with wide applications, such as document mining, microarray analys...
Component-based development is the emerging paradigm in software production, though several challenges still slow down its full taking up. In particular, the "component trust...
In this paper we propose an access control model for the Resource Description Framework (RDF). We argue that existing access control models, like the ones developed for securing e...