This paper presents a learning framework for blind source separation (BSS), in which the BSS is formulated as generalized Eigenvalue (GE) problem. Compared to the typical informati...
One of the very interesting properties of Reinforcement Learning algorithms is that they allow learning without prior knowledge of the environment. However, when the agents use al...
We propose a general model for resources allocation of virtual machines in multi-tier distributed environments. Our model describes each virtual machine and each physical host by ...
We present a theoretical and computational framework for matching of two-dimensional articulated shapes. Assuming that articulations can be modeled as near-isometries, we show an a...
Alexander M. Bronstein, Michael M. Bronstein, Alfr...
Abstract. We provide a general framework for constructing identitybased and broadcast encryption systems. In particular, we construct a general encryption system called spatial enc...