Data clustering is a popular approach for automatically finding classes, concepts, or groups of patterns. In practice this discovery process should avoid redundancies with existi...
Setting up a simulation model is more than writing down state equations and running them on a computer. A lot of conceptual information about the physics and engineering aspects o...
Arno Breunese, Jan L. Top, Jan F. Broenink, J. M. ...
This paper presents a new approach to software reliability modeling by grouping data into clusters of homogeneous failure intensities. This series of data clusters associated with...
We present a new framework in which image segmentation, figure/ground organization, and object detection all appear as the result of solving a single grouping problem. This frame...
When multiple processor (CPU) cores and a GPU integrated together on the same chip share the off-chip main memory, requests from the GPU can heavily interfere with requests from t...
Rachata Ausavarungnirun, Kevin Kai-Wei Chang, Lava...