In this paper, we describe some of the key observations resulting from our work on using software engineering technologies to help detect errors in medical processes. In many ways...
Lori A. Clarke, George S. Avrunin, Leon J. Osterwe...
In this paper we propose a new motion compensated prediction technique that enables successful predictive encoding during fades, blended scenes, temporally decorrelated noise, and...
Credit risk has always been an important issue for banks
and other financial intermediaries. A reliable and consistent
computing system is necessary to simplify the decision
mak...
S. Bonura, V. Morreale, G. Cammarata, F. Cantore,...
Anomaly detection in multivariate time series is an important data mining task with applications to ecosystem modeling, network traffic monitoring, medical diagnosis, and other d...
Christopher Potter, Haibin Cheng, Pang-Ning Tan, S...
Most existing video denoising algorithms assume a single statistical model of image noise, e.g. additive Gaussian white noise, which often is violated in practice. In this paper, ...