Random sampling is a well-known technique for approximate processing of large datasets. We introduce a set of algorithms for incremental maintenance of large random samples on seco...
Abstract. In this contribution, the vulnerabilities of iris-based recognition systems to direct attacks are studied. A database of fake iris images has been created from real iris ...
Virginia Ruiz-Albacete, Pedro Tome-Gonzalez, Ferna...
Abstract. We present a new proof of decidability of higher-order subtyping in the presence of bounded quantification. The algorithm is formulated as a judgement which operates on b...
A flexible mandatory access control policy (MAC) for XML databases is presented in this paper. The label type and label access policy can be defined according to the requirements ...
The DAM-LR project aims at virtually integrating various European language resource archives that allow users to navigate and operate in a single unified domain of language resour...