In this paper, we consider the problem of optimal self-embedding Lapalcian data hiding for the state-dependent channels. In particular, we propose to decompose the Laplacian data ...
Oleksiy J. Koval, Sviatoslav Voloshynovskiy, Thier...
Automatic Global Data Partitioning for Distributed Memory Machines DMMs is a di cult problem. In this work, we present a partitioning strategy called 'Hyperplane Partitioning...
Secret sharing algorithms have been used for intrusion tolerance, which ensure the confidentiality, integrity and availability of critical information. However, dynamically changi...
A novel approach to clustering co-occurrence data poses it as an optimization problem in information theory which minimizes the resulting loss in mutual information. A divisive cl...
Existing estimation approaches for spatial databases often rely on the assumption that data distribution in a small region is uniform, which seldom holds in practice. Moreover, the...