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» Efficient Discovery of Confounders in Large Data Sets
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RECOMB
2007
Springer
16 years 6 months ago
Framework for Identifying Common Aberrations in DNA Copy Number Data
High-resolution array comparative genomic hybridization (aCGH) provides exon-level mapping of DNA aberrations in cells or tissues. Such aberrations are central to carcinogenesis an...
Amir Ben-Dor, Doron Lipson, Anya Tsalenko, Mark Re...
JGTOOLS
2008
100views more  JGTOOLS 2008»
15 years 6 months ago
Proximity Cluster Trees
Hierarchical spatial data structures provide a means for organizing data for efficient processing. Most spatial data structures are optimized for performing queries, such as inters...
Elena Jakubiak Hutchinson, Sarah F. Frisken, Ronal...
ECCV
2002
Springer
16 years 8 months ago
Multi-view Matching for Unordered Image Sets, or "How Do I Organize My Holiday Snaps?"
There has been considerable success in automated reconstruction for image sequences where small baseline algorithms can be used to establish matches across a number of images. In c...
Frederik Schaffalitzky, Andrew Zisserman
SSPR
1998
Springer
15 years 10 months ago
Distribution Free Decomposition of Multivariate Data
: We present a practical approach to nonparametric cluster analysis of large data sets. The number of clusters and the cluster centres are automatically derived by mode seeking wit...
Dorin Comaniciu, Peter Meer
CIKM
2006
Springer
15 years 10 months ago
Finding highly correlated pairs efficiently with powerful pruning
We consider the problem of finding highly correlated pairs in a large data set. That is, given a threshold not too small, we wish to report all the pairs of items (or binary attri...
Jian Zhang, Joan Feigenbaum