In multi-task learning our goal is to design regression or classification models for each of the tasks and appropriately share information between tasks. A Dirichlet process (DP) ...
Abstract. In this paper we present a novel tool for body-part segmentation and tracking in the context of multiple camera systems. Our goal is to produce robust motion cues over ti...
Fabio Cuzzolin, Diana Mateus, Edmond Boyer, Radu H...
Functionally related genes co-evolve, probably due to the strong selection pressure in evolution. Thus we expect that they are present in multiple genomes. Physical proximity amon...
Increasingly large-scale clusters of PC/WS continue to become majority platform in HPC field. Such a commodity cluster environment, there may be incremental upgrade due to severa...
At UCLA's Plasma Physics Group, we have been successful in building and using a numerically-intensive parallel computing cluster using Power Macintosh hardware and the Macint...