This paper presents a dynamic task scheduling approach to executing dense linear algebra algorithms on multicore systems (either shared-memory or distributed-memory). We use a tas...
In this paper, a novel diagnosis method is proposed. The proposed technique uses machine learning techniques instead of traditional cause-effect and/or effect-cause analysis. The ...
High-speed smooth and accurate visual tracking of objects in arbitrary, unstructured environments is essential for robotics and human motion analysis. However, building a system th...
Abstract. Solutions to non-linear least squares problems play an essential role in structure and motion problems in computer vision. The predominant approach for solving these prob...
d abstract), Nicola Ferraro, Luigi Palopoli, Simona Panni and Simona E. Rombo. Uncovering Hidden Phylogenetic Consensus d abstract), Nicholas Pattengale, Krister Swenson and Bernar...
Nicola Ferraro, Luigi Palopoli, Simona Panni, Simo...