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» Techniques for Measuring Quality of Experience
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ICDE
2009
IEEE
223views Database» more  ICDE 2009»
14 years 9 months ago
Another Outlier Bites the Dust: Computing Meaningful Aggregates in Sensor Networks
Abstract-- Recent work has demonstrated that readings provided by commodity sensor nodes are often of poor quality. In order to provide a valuable sensory infrastructure for monito...
Antonios Deligiannakis, Yannis Kotidis, Vasilis Va...
MOBISYS
2008
ACM
14 years 7 months ago
Supporting vehicular mobility in urban multi-hop wireless networks
Deployments of city-wide multi-hop 802.11 networks introduce challenges for maintaining client performance at vehicular speeds. We experimentally demonstrate that current network ...
Anastasios Giannoulis, Marco Fiore, Edward W. Knig...
JUCS
2006
185views more  JUCS 2006»
13 years 7 months ago
The Berlin Brain-Computer Interface: Machine Learning Based Detection of User Specific Brain States
We outline the Berlin Brain-Computer Interface (BBCI), a system which enables us to translate brain signals from movements or movement intentions into control commands. The main co...
Benjamin Blankertz, Guido Dornhege, Steven Lemm, M...
INFFUS
2006
142views more  INFFUS 2006»
13 years 7 months ago
Moderate diversity for better cluster ensembles
Adjusted Rand index is used to measure diversity in cluster ensembles and a diversity measure is subsequently proposed. Although the measure was found to be related to the quality...
Stefan Todorov Hadjitodorov, Ludmila I. Kuncheva, ...
ISSTA
1993
ACM
13 years 12 months ago
Faults on Its Sleeve: Amplifying Software Reliability Testing
Most of the effort that goes into improving the quality of software paradoxically does not lead to quantitative, measurable quality. Software developers and quality-assurance orga...
Richard G. Hamlet, Jeffrey M. Voas