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» Quality Metrics in Learning Objects
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ICDE
2010
IEEE
203views Database» more  ICDE 2010»
14 years 1 months ago
Optimizing ETL workflows for fault-tolerance
Extract-Transform-Load (ETL) processes play an important role in data warehousing. Typically, design work on ETL has focused on performance as the sole metric to make sure that the...
Alkis Simitsis, Kevin Wilkinson, Umeshwar Dayal, M...
LCN
2006
IEEE
14 years 2 months ago
Utility-based Packet Scheduler for Wireless Communications
Abstract— Following widespread availability of wireless Internet, a wide range of applications with differing QoS requirements must share the wireless access. The objective of th...
Ana Aguiar, Adam Wolisz, Horst Lederer
APGV
2006
ACM
144views Visualization» more  APGV 2006»
14 years 12 days ago
Efficient selective rendering of participating media
Realistic image synthesis is the process of computing photorealistic images which are perceptually and measurably indistinguishable from real-world images. In order to obtain high...
Oscar Anson, Veronica Sundstedt, Diego Gutierrez, ...
SIGIR
2012
ACM
11 years 11 months ago
Robust ranking models via risk-sensitive optimization
Many techniques for improving search result quality have been proposed. Typically, these techniques increase average effectiveness by devising advanced ranking features and/or by...
Lidan Wang, Paul N. Bennett, Kevyn Collins-Thompso...
WETICE
2008
IEEE
14 years 3 months ago
An Architecture for an Adaptive and Collaborative Learning Management System in Aviation Security
The importance of aviation security has increased dramatically in recent years. Frequently changing regulations and the need to adapt quickly to new and emerging threats are chall...
Yi Guo, Adrian Schwaninger, Harald Gall