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» A Genetic Algorithm for Clustering on Very Large Data Sets
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ECCV
2006
Springer
14 years 9 months ago
Triangulation for Points on Lines
Triangulation consists in finding a 3D point reprojecting the best as possible onto corresponding image points. It is classical to minimize the reprojection error, which, in the p...
Adrien Bartoli, Jean-Thierry Lapresté
EDBT
2010
ACM
185views Database» more  EDBT 2010»
14 years 2 months ago
Optimizing joins in a map-reduce environment
Implementations of map-reduce are being used to perform many operations on very large data. We examine strategies for joining several relations in the map-reduce environment. Our ...
Foto N. Afrati, Jeffrey D. Ullman
VLDB
1998
ACM
136views Database» more  VLDB 1998»
13 years 11 months ago
Materialized View Selection for Multidimensional Datasets
To fulfill the requirement of fast interactive multidimensional data analysis, database systems precompute aggregate views on some subsets of dimensions and their corresponding hi...
Amit Shukla, Prasad Deshpande, Jeffrey F. Naughton
FOCM
2011
188views more  FOCM 2011»
12 years 11 months ago
Compressive Wave Computation
This paper considers large-scale simulations of wave propagation phenomena. We argue that it is possible to accurately compute a wavefield by decomposing it onto a largely incomp...
Laurent Demanet, Gabriel Peyré
ICMLA
2010
13 years 5 months ago
Smoothing Gene Expression Using Biological Networks
Gene expression (microarray) data have been used widely in bioinformatics. The expression data of a large number of genes from small numbers of subjects are used to identify inform...
Yue Fan, Mark A. Kon, Shinuk Kim, Charles DeLisi