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» Computing LTS Regression for Large Data Sets
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ICDCS
2000
IEEE
14 years 1 months ago
Static and Adaptive Data Replication Algorithms for Fast Information Access in Large Distributed Systems
Creating replicas of frequently accessed objects across a read-intensive network can result in large bandwidth savings which, in turn, can lead to reduction in user response time....
Thanasis Loukopoulos, Ishfaq Ahmad
GRID
2006
Springer
13 years 9 months ago
Simultaneous Scheduling of Replication and Computation for Data-Intensive Applications on the Grid
One of the first motivations of using grids comes from applications managing large data sets in field such as high energy physics or life sciences. To improve the global throughput...
Frederic Desprez, Antoine Vernois
VIS
2005
IEEE
150views Visualization» more  VIS 2005»
14 years 10 months ago
VolumeExplorer: Roaming Large Volumes to Couple Visualization and Data Processing for Oil and Gas Exploration
In this paper, we present a volume roaming system dedicated to oil and gas exploration. Our system combines probebased volume rendering with data processing and computing. The dai...
Laurent Castanie, Bruno Lévy, Fabien Bosque...
SOFSEM
2001
Springer
14 years 1 months ago
How Can Computer Science Contribute to Knowledge Discovery?
Knowledge discovery, that is, to analyze a given massive data set and derive or discover some knowledge from it, has been becoming a quite important subject in several fields incl...
Osamu Watanabe
TIP
2010
155views more  TIP 2010»
13 years 7 months ago
Laplacian Regularized D-Optimal Design for Active Learning and Its Application to Image Retrieval
—In increasingly many cases of interest in computer vision and pattern recognition, one is often confronted with the situation where data size is very large. Usually, the labels ...
Xiaofei He