Large scale compute clusters continue to grow to ever-increasing proportions. However, as clusters and applications continue to grow, the Mean Time Between Failures (MTBF) has redu...
We present a new algorithm for a robust family of Earth Mover’s Distances - EMDs with thresholded ground distances. The algorithm transforms the flow-network of the EMD so that t...
An important problem in applications of formal concept analysis is a possibly large number of clusters extracted from data. Factorization is one of the methods being used to cope w...
The complexity of neural networks of the brain makes studying these networks through computer simulation challenging. Conventional methods, where one models thousands of individua...
This project will involve analysing some of the newer fast algorithms in comparison with an exhaustive full search algorithm for motion estimation in video encoders. It will invest...
Naga Rohini Koduri, Mqhele E. Dlodlo, Gerhard de J...