High power consumption and low energy efficiency have become significant impediments to future performance improvements in modern microprocessors. This paper contributes to the so...
In many practical reinforcement learning problems, the state space is too large to permit an exact representation of the value function, much less the time required to compute it. ...
Processing of multidimensional image data which were acquired by a linear imaging system of unknown point-spread function (PSF) is an important problem whose solution usually requi...
—We introduce a new approach to image estimation based on a flexible constraint framework that encapsulates meaningful structural image assumptions. Piecewise image models (PIMâ...
In this paper, we address the problem of optimal synthesis of an integrated water system, where water using processes and water treatment operations are combined into a single net...