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» Analysis and Application of Adaptive Sampling
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ICS
2010
Tsinghua U.
14 years 16 days ago
Clustering performance data efficiently at massive scales
Existing supercomputers have hundreds of thousands of processor cores, and future systems may have hundreds of millions. Developers need detailed performance measurements to tune ...
Todd Gamblin, Bronis R. de Supinski, Martin Schulz...
BMCBI
2008
166views more  BMCBI 2008»
13 years 10 months ago
Biclustering via optimal re-ordering of data matrices in systems biology: rigorous methods and comparative studies
Background: The analysis of large-scale data sets via clustering techniques is utilized in a number of applications. Biclustering in particular has emerged as an important problem...
Peter A. DiMaggio Jr., Scott R. McAllister, Christ...
ICSE
2009
IEEE-ACM
14 years 11 months ago
TranStrL: An automatic need-to-translate string locator for software internationalization
Software internationalization is often necessary when distributing software applications to different regions around the world. In many cases, developers often do not internationa...
Xiaoyin Wang, Lu Zhang, Tao Xie, Hong Mei, Jiasu S...
BMCBI
2005
152views more  BMCBI 2005»
13 years 10 months ago
GeneKeyDB: A lightweight, gene-centric, relational database to support data mining environments
Background: The analysis of biological data is greatly enhanced by existing or emerging databases. Most existing databases, with few exceptions are not designed to easily support ...
S. A. Kirov, X. Peng, E. Baker, D. Schmoyer, B. Zh...
ICCV
2003
IEEE
15 years 4 hour ago
Mean Shift Based Clustering in High Dimensions: A Texture Classification Example
Feature space analysis is the main module in many computer vision tasks. The most popular technique, k-means clustering, however, has two inherent limitations: the clusters are co...
Bogdan Georgescu, Ilan Shimshoni, Peter Meer