Approximate arithmetic is a promising, new approach to lowenergy designs while tackling reliability issues. We present a method to optimally distribute a given energy budget among...
Zvi M. Kedem, Vincent John Mooney, Kirthi Krishna ...
Abstract In this paper we propose a reduced-reference quality assessment algorithm which computes an approximation of the Structural SIMilarity (SSIM) metrics exploiting coding too...
Marco Tagliasacchi, Giuseppe Valenzise, Matteo Nac...
We investigate the empirical applicability of several bounds (a number of which are new) on the true error rate of learned classifiers which hold whenever the examples are chosen ...
Abstract--Minimum distances, distance distributions, and error exponents on a binary-symmetric channel (BSC) are given for typical codes from Shannon's random code ensemble an...
Abstract—It is well known that for finite-sized networks, onestep retrieval in the autoassociative Willshaw net is a suboptimal way to extract the information stored in the syna...