Performance and power constraints come together with Complementary Metal Oxide
Semiconductor technology scaling in future Exascale systems. Technology scaling makes …

In this paper, we present supervision-by-registration, an unsupervised approach to improve
the precision of facial landmark detectors on both images and video. Our key observation is …

As we move toward exascale platforms, silent data corruptions (SDC) are likely to occur
more frequently. Such errors can lead to incorrect results. Attempts have been made to use …

This Advanced Introduction provides a critical review and discussion of research concerning
spatial statistics, differentiating between it and spatial econometrics, to answer a set of core …

Soft errors caused by transient bit flips have the potential to significantly impact an
application's behavior. This has motivated the design of an array of techniques to detect …

The popularization of multimedia content on the Web has arised the need to automatically
understand, index and retrieve it. In this paper we present ViTS, an automatic Video Tagging …

As the exascale era approaches, the increasing capacity of high-performance computing
(HPC) systems with targeted power and energy budget goals introduces significant …

As the size and complexity of high-performance computing (HPC) systems keep growing,
scientists' ability to trust the data produced is paramount due to potential data corruption for …

Future high-performance computing (HPC) systems with ever-increasing resource capacity
(such as compute cores, memory and storage) may significantly increase the risks on …

Time-series analysis in hydrology plays an important role in the efficient use of water
resources, prediction of flood risks, and crop production. However, considering many …