The detection and estimation of signals in noisy, limited data is a problem of interest to many scientific and engineering communities. We present a mathematically justifiable, com...
We present the results of an empirical study of several constraint satisfaction search algorithms and heuristics. Using a random problem generator that allows us to create instanc...
Abstract. Several public key cryptosystems with additional homomorphic properties have been proposed so far. They allow to perform computation with encrypted data without the knowl...
Pierre-Alain Fouque, Guillaume Poupard, Jacques St...
Model compensation is a standard way of improving the robustness of speech recognition systems to noise. A number of popular schemes are based on vector Taylor series (vts) compen...
Abstract-The Internet today provides no support for privacy or authentication of multicast packets. However,an increasing number of applications will require secure multicast servi...
Isabella Chang, Robert Engel, Dilip D. Kandlur, Di...