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» Finding Groups in Data: Cluster Analysis with Ants
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ICPR
2010
IEEE
14 years 9 months ago
Performance Evaluation of Automatic Feature Discovery Focused within Error Clusters
We report performance evaluation of our automatic feature discovery method on the publicly available Gisette dataset: a set of 29 features discovered by our method ranks 129 among...
Sui-Yu Wang, Henry S. Baird
CCGRID
2004
IEEE
15 years 3 months ago
Predicting job start times on clusters
In a Computational Grid which consists of many computer clusters, job start time predictions are useful to guide resource selections and balance the workload distribution. However...
Hui Li, David L. Groep, Jeffrey Templon, Lex Wolte...
SOUPS
2006
ACM
15 years 5 months ago
A comparison of perceived and real shoulder-surfing risks between alphanumeric and graphical passwords
Previous research has found graphical passwords to be more memorable than non-dictionary or “strong” alphanumeric passwords. Participants in a prior study expressed concerns t...
Furkan Tari, A. Ant Ozok, Stephen H. Holden
PDPTA
2010
14 years 9 months ago
Collecting Sensor Data for High-Performance Computing: A Case-study
- Many research questions remain open with regard to improving reliability in exascale systems. Among others, statistics-based analysis has been used to find anomalies, to isolate ...
Line C. Pouchard, Jonathan D. Dobson, Stephen W. P...
GRID
2006
Springer
14 years 11 months ago
Grid Deployment of Legacy Bioinformatics Applications with Transparent Data Access
Although grid computing offers great potential for executing large-scale bioinformatics applications, practical deployment is constrained by legacy interfaces. Most widely deployed...
Christophe Blanchet, Rémi Mollon, Douglas T...