In this paper, a novel method for learning based image super resolution (SR) is presented. The basic idea is to bridge the gap between a set of low resolution (LR) images and the ...
—A structured organization of information is typically required by symbolic processing. On the other hand, most connectionist models assume that data are organized according to r...
Abstract. This paper formalizes the security adversarial games for online symmetric cryptosystems in a unified framework for deterministic and probabilistic encryption schemes. On...
Pierre-Alain Fouque, Antoine Joux, Guillaume Poupa...
A novel maximal figure-of-merit (MFoM) learning approach to text categorization is proposed. Different from the conventional techniques, the proposed MFoM method attempts to integ...
The probabilistic formalism of quantum physics is said to provide a sound basis for building a principled information retrieval framework. Such a framework can be based on the not...
Benjamin Piwowarski, Ingo Frommholz, Mounia Lalmas...