Multiscale error diffusion (MED) is superior to conventional error diffusion algorithms as it can eliminate directional hysteresis completely. However, due to its frame-oriented p...
Abstract— In this paper, analysis on undetected error probability of ensembles of m × n binary matricies is presented. Two ensembles are considered: One is an ensemble of dense ...
We propose a low cost method for the correction of the output of OCR engines through the use of human labor. The method employs an error estimator neural network that learns to as...
In genomic studies, thousands of features are collected on relatively few samples. One of the goals of these studies is to build classifiers to predict the outcome of future obser...
Annette M. Molinaro, Richard Simon, Ruth M. Pfeiff...
Sequential elements, flip-flops, latches, and memory cells, are the most vulnerable components to soft errors. Since state-of-the-art designs contain millions of bistables, it i...