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» Using Clustering and Blade Clusters in the Terabyte Task
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CCGRID
2005
IEEE
15 years 3 months ago
Data grid performance analysis through study of replication and storage infrastructure parameters
Running Data Grid applications such as High Energy Nuclear Physics (HENP) and weather modelling experiments involves working with huge data sets possibly of hundreds of Terabytes ...
Ernest Sithole, Gerard P. Parr, Sally I. McClean
ITSL
2008
14 years 11 months ago
An Empirical Comparison of NML Clustering Algorithms
Clustering can be defined as a data assignment problem where the goal is to partition the data into nonhierarchical groups of items. In our previous work, we suggested an informati...
Petri Kontkanen, Petri Myllymäki
DILS
2008
Springer
14 years 11 months ago
Semi Supervised Spectral Clustering for Regulatory Module Discovery
We propose a novel semi-supervised clustering method for the task of gene regulatory module discovery. The technique uses data on dna binding as prior knowledge to guide the proces...
Alok Mishra, Duncan Gillies
COMAD
2009
14 years 10 months ago
A Simple and Efficient Lane Detection using Clustering and Weighted Regression
Developing a vision based, efficient and automatic lane detection system from a moving vehicle is a challenging task mainly due to poor quality of lane markings, occlusion created...
Rudra N. Hota, Shahanaz Syed, Subhadip Bandyopadhy...
CCGRID
2006
IEEE
15 years 3 months ago
Transparent Adaptive Library-Based Checkpointing for Master-Worker Style Parallelism
We present a transparent, system-level checkpointing solution for master-worker parallelism that automatically adapts, upon restart, to the number of processor nodes available. Th...
Gene Cooperman, Jason Ansel, Xiaoqin Ma