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» Computing LTS Regression for Large Data Sets
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NAR
2011
225views Computer Vision» more  NAR 2011»
14 years 4 months ago
PHOSIDA 2011: the posttranslational modification database
The primary purpose of PHOSIDA (http://www .phosida.com) is to manage posttranslational modification sites of various species ranging from bacteria to human. Since its last report...
Florian Gnad, Jeremy Gunawardena, Matthias Mann 00...
PPOPP
2012
ACM
13 years 9 months ago
Chestnut: a GPU programming language for non-experts
Graphics processing units (GPUs) are powerful devices capable of rapid parallel computation. GPU programming, however, can be quite difficult, limiting its use to experienced prog...
Andrew Stromme, Ryan Carlson, Tia Newhall
FAST
2008
15 years 3 months ago
Improving I/O Performance of Applications through Compiler-Directed Code Restructuring
Ever-increasing complexity of large-scale applications and continuous increases in sizes of the data they process make the problem of maximizing performance of such applications a...
Mahmut T. Kandemir, Seung Woo Son, Mustafa Karak&o...
ISBI
2008
IEEE
15 years 8 months ago
An optimal-path approach for neural circuit reconstruction
Neurobiologists are collecting large amounts of electron microscopy image data to gain a better understanding of neuron organization in the central nervous system. Image analysis ...
Elizabeth Jurrus, Ross T. Whitaker, Bryan W. Jones...
ICDE
1998
IEEE
187views Database» more  ICDE 1998»
16 years 2 months ago
Mining Optimized Association Rules with Categorical and Numeric Attributes
?Mining association rules on large data sets has received considerable attention in recent years. Association rules are useful for determining correlations between attributes of a ...
Rajeev Rastogi, Kyuseok Shim