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» An efficient clustering method for k-anonymization
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CVPR
1999
IEEE
14 years 10 months ago
Background Estimation and Removal Based on Range and Color
Background estimation and removal based on the joint use of range and color data produces superior results than can be achieved with either data source alone. This is increasingly...
Gaile G. Gordon, Trevor Darrell, Michael Harville,...
BMCBI
2007
166views more  BMCBI 2007»
13 years 8 months ago
How to decide which are the most pertinent overly-represented features during gene set enrichment analysis
Background: The search for enriched features has become widely used to characterize a set of genes or proteins. A key aspect of this technique is its ability to identify correlati...
Roland Barriot, David J. Sherman, Isabelle Dutour
KDD
2005
ACM
160views Data Mining» more  KDD 2005»
14 years 9 months ago
Consistent bipartite graph co-partitioning for star-structured high-order heterogeneous data co-clustering
Heterogeneous data co-clustering has attracted more and more attention in recent years due to its high impact on various applications. While the co-clustering algorithms for two t...
Bin Gao, Tie-Yan Liu, Xin Zheng, QianSheng Cheng, ...
ICDE
2010
IEEE
244views Database» more  ICDE 2010»
14 years 8 months ago
Reliable Storage and Querying for Collaborative Data Sharing Systems
The sciences, business confederations, and medicine urgently need infrastructure for sharing data and updates among collaborators' constantly changing, heterogeneous databases...
Nicholas E. Taylor, Zachary G. Ives
BMCBI
2008
87views more  BMCBI 2008»
13 years 8 months ago
Protein structure search and local structure characterization
Background: Structural similarities among proteins can provide valuable insight into their functional mechanisms and relationships. As the number of available three-dimensional (3...
Shih-Yen Ku, Yuh-Jyh Hu