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KDD
2006
ACM
149views Data Mining» more  KDD 2006»
14 years 9 months ago
Regularized discriminant analysis for high dimensional, low sample size data
Linear and Quadratic Discriminant Analysis have been used widely in many areas of data mining, machine learning, and bioinformatics. Friedman proposed a compromise between Linear ...
Jieping Ye, Tie Wang
CCGRID
2009
IEEE
14 years 3 months ago
C-Meter: A Framework for Performance Analysis of Computing Clouds
—Cloud computing has emerged as a new technology that provides large amount of computing and data storage capacity to its users with a promise of increased scalability, high avai...
Nezih Yigitbasi, Alexandru Iosup, Dick H. J. Epema...
HPDC
2009
IEEE
14 years 3 months ago
Resource co-allocation for large-scale distributed environments
Advances in the development of large scale distributed computing systems such as Grids and Computing Clouds have intensified the need for developing scheduling algorithms capable...
Claris Castillo, George N. Rouskas, Khaled Harfous...
ISCA
2007
IEEE
217views Hardware» more  ISCA 2007»
13 years 9 months ago
Parallel Processing of High-Dimensional Remote Sensing Images Using Cluster Computer Architectures
Hyperspectral sensors represent the most advanced instruments currently available for remote sensing of the Earth. The high spatial and spectral resolution of the images supplied ...
David Valencia, Antonio Plaza, Pablo Martín...
CLUSTER
2002
IEEE
14 years 2 months ago
Supermon: A High-Speed Cluster Monitoring System
Supermon is a flexible set of tools for high speed, scalable cluster monitoring. Node behavior can be monitored much faster than with other commonly used methods (e.g., rstatd). ...
Matthew J. Sottile, Ronald Minnich