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IPPS
2007
IEEE
16 years 19 days ago
Towards A Better Understanding of Workload Dynamics on Data-Intensive Clusters and Grids
This paper presents a comprehensive statistical analysis of workloads collected on data-intensive clusters and Grids. The analysis is conducted at different levels, including Virt...
Hui Li, Lex Wolters
ICS
2005
Tsinghua U.
15 years 12 months ago
What is worth learning from parallel workloads?: a user and session based analysis
Learning useful and predictable features from past workloads and exploiting them well is a major source of improvement in many operating system problems. We review known parallel ...
Julia Zilber, Ofer Amit, David Talby
HCI
2009
15 years 4 months ago
Methods for Quantifying Emotion-Related Gait Kinematics
Quantitative models of whole body expressive movement can be developed by combining methods form biomechanics, psychology, and statistics. The purpose of this paper was to use moti...
Elizabeth A. Crane, Melissa Gross, Ed Rothman
RECOMB
2006
Springer
16 years 6 months ago
Assessing Significance of Connectivity and Conservation in Protein Interaction Networks
Computational and comparative analysis of protein-protein interaction (PPI) networks enable understanding of the modular organization of the cell through identification of functio...
Mehmet Koyutürk, Ananth Grama, Wojciech Szpan...
SSIAI
2000
IEEE
15 years 10 months ago
Pairwise Markov Random Fields and its Application in Textured Images Segmentation
The use of random fields, which allows one to take into account the spatial interaction among random variables in complex systems, is a frequent tool in numerous problems of stati...
Wojciech Pieczynski, Abdel-Nasser Tebbache