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» A Model for Large Scale Self-Stabilization
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VIS
2004
IEEE
153views Visualization» more  VIS 2004»
14 years 10 months ago
Anisotropic Volume Rendering for Extremely Dense, Thin Line Data
Many large scale physics-based simulations which take place on PC clusters or supercomputers produce huge amounts of data including vector fields. While these vector data such as ...
Gregory L. Schussman, Kwan-Liu Ma
ICDM
2005
IEEE
161views Data Mining» more  ICDM 2005»
14 years 2 months ago
Making Logistic Regression a Core Data Mining Tool with TR-IRLS
Binary classification is a core data mining task. For large datasets or real-time applications, desirable classifiers are accurate, fast, and need no parameter tuning. We presen...
Paul Komarek, Andrew W. Moore
BMCBI
2005
246views more  BMCBI 2005»
13 years 8 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...
MICRO
2009
IEEE
133views Hardware» more  MICRO 2009»
14 years 3 months ago
A tagless coherence directory
A key challenge in architecting a CMP with many cores is maintaining cache coherence in an efficient manner. Directory-based protocols avoid the bandwidth overhead of snoop-based ...
Jason Zebchuk, Vijayalakshmi Srinivasan, Moinuddin...
CIKM
2009
Springer
14 years 3 months ago
Scalable learning of collective behavior based on sparse social dimensions
The study of collective behavior is to understand how individuals behave in a social network environment. Oceans of data generated by social media like Facebook, Twitter, Flickr a...
Lei Tang, Huan Liu