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» Opportunistic Data Structures with Applications
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199
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CONEXT
2009
ACM
15 years 5 months ago
StarClique: guaranteeing user privacy in social networks against intersection attacks
Building on the popularity of online social networks (OSNs) such as Facebook, social content-sharing applications allow users to form communities around shared interests. Millions...
Krishna P. N. Puttaswamy, Alessandra Sala, Ben Y. ...
BMCBI
2010
86views more  BMCBI 2010»
15 years 4 months ago
ICC-CLASS: isotopically-coded cleavable crosslinking analysis software suite
Background: Successful application of crosslinking combined with mass spectrometry for studying proteins and protein complexes requires specifically-designed crosslinking reagents...
Evgeniy V. Petrotchenko, Christoph H. Borchers
BMCBI
2010
155views more  BMCBI 2010»
15 years 4 months ago
A flexible R package for nonnegative matrix factorization
Background: Nonnegative Matrix Factorization (NMF) is an unsupervised learning technique that has been applied successfully in several fields, including signal processing, face re...
Renaud Gaujoux, Cathal Seoighe
130
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TITB
1998
135views more  TITB 1998»
15 years 4 months ago
ViVa: the virtual vascular project
The aim of the ViVa project is to develop tools for the modern hemodynamicist and cardiovascular surgeon to study and interpret the constantly increasing amount of information bei...
Gassan Abdoulaev, Sandro Cadeddu, Giovanni Delussu...
TKDE
2010
184views more  TKDE 2010»
15 years 3 months ago
The Dynamic Bloom Filters
—A Bloom filter is an effective, space-efficient data structure for concisely representing a set, and supporting approximate membership queries. Traditionally, the Bloom filter a...
Deke Guo, Jie Wu, Honghui Chen, Ye Yuan, Xueshan L...