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» Parallel matrix algorithms and applications
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ICDCS
2006
IEEE
15 years 10 months ago
Distributed Computing for Efficient Hyperspectral Imaging Using Fully Heterogeneous Networks of Workstations
Hyperspectral imaging is a new technique which has become increasingly important in many remote sensing applications, including automatic target recognition for military and defen...
Antonio Plaza, Javier Plaza, David Valencia
SIGOPS
2010
162views more  SIGOPS 2010»
15 years 2 months ago
Visual and algorithmic tooling for system trace analysis: a case study
Despite advances in the application of automated statistical and machine learning techniques to system log and trace data there will always be a need for human analysis of machine...
Wim De Pauw, Steve Heisig
TEC
2010
191views more  TEC 2010»
14 years 10 months ago
Particle Swarm Optimization Aided Orthogonal Forward Regression for Unified Data Modeling
We propose a unified data modeling approach that is equally applicable to supervised regression and classification applications, as well as to unsupervised probability density func...
Sheng Chen, Xia Hong, Chris J. Harris
IPPS
2010
IEEE
15 years 2 months ago
Attack-resistant frequency counting
We present collaborative peer-to-peer algorithms for the problem of approximating frequency counts for popular items distributed across the peers of a large-scale network. Our alg...
Bo Wu, Jared Saia, Valerie King
HPDC
2007
IEEE
15 years 10 months ago
A provisioning model and its comparison with best-effort for performance-cost optimization in grids
The resource availability in Grids is generally unpredictable due to the autonomous and shared nature of the Grid resources and stochastic nature of the workload resulting in a be...
Gurmeet Singh, Carl Kesselman, Ewa Deelman