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» Computing LTS Regression for Large Data Sets
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ICDCS
2006
IEEE
14 years 3 months ago
ParRescue: Scalable Parallel Algorithm and Implementation for Biclustering over Large Distributed Datasets
Biclustering refers to simultaneously capturing correlations present among subsets of attributes (columns) and records (rows). It is widely used in data mining applications includ...
Jianhong Zhou, Ashfaq A. Khokhar
BMCBI
2008
99views more  BMCBI 2008»
13 years 9 months ago
Towards a lightweight generic computational grid framework for biological research
Background: An increasing number of scientific research projects require access to large-scale computational resources. This is particularly true in the biological field, whether ...
Mark D. Halling-Brown, David S. Moss, Adrian J. Sh...
VLUDS
2010
184views Visualization» more  VLUDS 2010»
13 years 3 months ago
Advanced Visualization and Interaction Techniques for Large High-Resolution Displays
Large high-resolution displays combine the images of multiple smaller display devices to form one large display area. A total resolution that can easily comprise several hundred m...
Sebastian Thelen
ACL
2011
13 years 22 days ago
Discovering Sociolinguistic Associations with Structured Sparsity
We present a method to discover robust and interpretable sociolinguistic associations from raw geotagged text data. Using aggregate demographic statistics about the authors’ geo...
Jacob Eisenstein, Noah A. Smith, Eric P. Xing
BMCBI
2005
246views more  BMCBI 2005»
13 years 9 months ago
ParPEST: a pipeline for EST data analysis based on parallel computing
Background: Expressed Sequence Tags (ESTs) are short and error-prone DNA sequences generated from the 5' and 3' ends of randomly selected cDNA clones. They provide an im...
Nunzio D'Agostino, Mario Aversano, Maria Luisa Chi...