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» Informative sampling for large unbalanced data sets
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146
Voted
VC
2008
143views more  VC 2008»
15 years 3 months ago
A single-pass GPU ray casting framework for interactive out-of-core rendering of massive volumetric datasets
We present an adaptive out-of-core technique for rendering massive scalar volumes employing single pass GPU raycasting. The method is based on the decomposition of a volumetric dat...
Enrico Gobbetti, Fabio Marton, José Antonio...
EDBT
2008
ACM
120views Database» more  EDBT 2008»
16 years 4 months ago
Flint: Google-basing the Web
Several Web sites deliver a large number of pages, each publishing data about one instance of some real world entity, such as an athlete, a stock quote, a book. Even though it is ...
Lorenzo Blanco, Valter Crescenzi, Paolo Merialdo, ...
118
Voted
BIBE
2007
IEEE
127views Bioinformatics» more  BIBE 2007»
15 years 8 months ago
Gene Selection via Matrix Factorization
The recent development of microarray gene expression techniques have made it possible to offer phenotype classification of many diseases. However, in gene expression data analysis...
Fei Wang, Tao Li
BTW
2007
Springer
136views Database» more  BTW 2007»
15 years 10 months ago
System P: Completeness-driven Query Answering in Peer Data Management Systems
Abstract: Peer data management systems (PDMS) are a highly dynamic, decentralized infrastructure for large-scale data integration. They consist of a dynamic set of autonomous peers...
Armin Roth, Felix Naumann
BMCBI
2002
188views more  BMCBI 2002»
15 years 3 months ago
The limit fold change model: A practical approach for selecting differentially expressed genes from microarray data
Background: The biomedical community is developing new methods of data analysis to more efficiently process the massive data sets produced by microarray experiments. Systematic an...
David M. Mutch, Alvin Berger, Robert Mansourian, A...