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IJHPCN
2008
94views more  IJHPCN 2008»
15 years 1 months ago
Analysing and improving clustering based sampling for microprocessor simulation
: We propose a set of statistical metrics for making a comprehensive, fair, and insightful evaluation of features, clustering algorithms, and distance measures in representative sa...
Yue Luo, Ajay Joshi, Aashish Phansalkar, Lizy Kuri...
ICDM
2007
IEEE
176views Data Mining» more  ICDM 2007»
15 years 5 months ago
A Compact Representation of Spatio-Temporal Data
As technology advances we encounter more available data on moving objects, which can be mined to our benefit. In order to efficiently mine this large amount of data we propose an ...
Sigal Elnekave, Mark Last, Oded Maimon
SPIRE
2010
Springer
14 years 11 months ago
Standard Deviation as a Query Hardness Estimator
In this paper a new Query Performance Prediction method is introduced. This method is based on the hypothesis that different score distributions appear for ‘hard’ and ‘easy...
Joaquín Pérez-Iglesias, Lourdes Arau...
PDP
1997
IEEE
15 years 5 months ago
The controlled logical clock--a global time for trace-based software monitoring of parallel applications in workstation clusters
Event tracing and monitoring of parallel applications are difficult if each processor has its own unsynchronized clock. A survey is given on several strategies to generate a glob...
Rolf Rabenseifner
ISBI
2004
IEEE
16 years 2 months ago
Clustering-Based Framework for Comparing fMRI Analysis Methods
In this paper, a cluster-based framework is introduced for comparing analysis methods of functional magnetic resonance images (fMRI). In the proposed framework, fMRI data is repla...
Hamid Soltanian-Zadeh, Gholam-Ali Hossein-Zadeh, A...