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CASES
2010
ACM
14 years 11 months ago
Optimizing energy to minimize errors in dataflow graphs using approximate adders
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 ...
MTA
2010
108views more  MTA 2010»
15 years 17 days ago
A reduced-reference structural similarity approximation for videos corrupted by channel errors
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...
88
Voted
ICML
2005
IEEE
16 years 3 months ago
A comparison of tight generalization error bounds
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 ...
John Langford, Matti Kääriäinen
99
Voted
TIT
2002
62views more  TIT 2002»
15 years 1 months ago
Random codes: Minimum distances and error exponents
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...
Alexander Barg, G. David Forney Jr.
TNN
1998
114views more  TNN 1998»
15 years 1 months ago
Bayesian retrieval in associative memories with storage errors
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...
Friedrich T. Sommer, Peter Dayan