Abstract. In this paper we propose an algorithm for personalized learning based on a user’s query and a repository of lecture subparts —i.e., learning objects— both are descr...
We define an algorithmic paradigm, the stack model, that captures many primal-dual and local-ratio algorithms for approximating covering and packing problems. The stack model is ...
In the well-known "prisoners' problem", a representative example of steganography, two persons attempt to communicate covertly without alerting the warden. One appr...
More and more of our customers have to deal with very large datasets like elevation data and digital roadmaps covering Europe or even the entire world, very large images e.g. from...
In this paper we discuss the possible application of new concepts in web content extraction: utility assessment, utility annealing, and dynamic aggregated document generation. Aft...