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» Cluster Characterization through a Representativity Measure
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ICDE
2008
IEEE
219views Database» more  ICDE 2008»
14 years 7 months ago
Never Walk Alone: Uncertainty for Anonymity in Moving Objects Databases
Preserving individual privacy when publishing data is a problem that is receiving increasing attention. According to the k-anonymity principle, each release of data must be such th...
Osman Abul, Francesco Bonchi, Mirco Nanni
CVPR
2007
IEEE
14 years 8 months ago
A Unified Probabilistic Framework for Facial Activity Modeling and Understanding
Facial activities are the most natural and powerful means of human communication. Spontaneous facial activity is characterized by rigid head movements, non-rigid facial muscular m...
Yan Tong, Wenhui Liao, Zheng Xue, Qiang Ji
BMCBI
2007
140views more  BMCBI 2007»
13 years 6 months ago
Investigations into the relationship between feedback loops and functional importance of a signal transduction network based on
Background: A number of studies on biological networks have been carried out to unravel the topological characteristics that can explain the functional importance of network nodes...
Yung-Keun Kwon, Sun Shim Choi, Kwang-Hyun Cho
KDD
2009
ACM
379views Data Mining» more  KDD 2009»
13 years 10 months ago
MetaFac: community discovery via relational hypergraph factorization
This paper aims at discovering community structure in rich media social networks, through analysis of time-varying, multi-relational data. Community structure represents the laten...
Yu-Ru Lin, Jimeng Sun, Paul Castro, Ravi B. Konuru...
BMCBI
2007
166views more  BMCBI 2007»
13 years 6 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