This paper presents a methodology for knowledge discovery from inherently distributed data without moving it from its original location, completely or partially, to other locations...
Diego M. Escalante, Miguel Angel Rodriguez, Antoni...
We present a neural system that recognizes faces under strong variations in pose and illumination. The generalization is learnt completely on the basis of examples of a subset of p...
We present in this work a sound and complete modal logic called EDLA (Epistemic Dynamic Logic of Agency) integrating the concepts of joint action, preference and knowledge and ena...
Abstract. Recently, the variational Bayesian approximation was applied to probabilistic matrix factorization and shown to perform very well in experiments. However, its good perfor...
Object composition is often advocated as a more flexible alternative to standard class inheritance since it takes place at run-time, thus permitting the behavior of objects to be ...