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» Maximal Vector Computation in Large Data Sets
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EUROPAR
2009
Springer
16 years 1 months ago
Adaptive Parallel Householder Bidiagonalization
With the increasing use of large image and video archives and high-resolution multimedia data streams in many of today’s research and application areas, there is a growing need f...
Fangbin Liu, Frank J. Seinstra
TCBB
2010
176views more  TCBB 2010»
15 years 5 months ago
Feature Selection for Gene Expression Using Model-Based Entropy
—Gene expression data usually contain a large number of genes, but a small number of samples. Feature selection for gene expression data aims at finding a set of genes that best...
Shenghuo Zhu, Dingding Wang, Kai Yu, Tao Li, Yihon...
ICDE
2006
IEEE
127views Database» more  ICDE 2006»
16 years 8 months ago
Indexing for Dynamic Abstract Regions
for Dynamic Abstract Regions Joxan Jaffar Roland H.C. Yap School of Computing National University of Singapore 3 Science Drive 2, 117543, Singapore {joxan, ryap}@comp.nus.edu.sg Ke...
Joxan Jaffar, Roland H. C. Yap, Kenny Qili Zhu
EUROPAR
2007
Springer
16 years 22 days ago
Compositional Approach Applied to Loop Specialization
An optimizing compiler has a hard time to generate a code which will perform at top speed for an arbitrary data set size. In general, the low level optimization process must take i...
Lamia Djoudi, Jean-Thomas Acquaviva, Denis Barthou
ICDE
2009
IEEE
214views Database» more  ICDE 2009»
16 years 8 months ago
Ranking with Uncertain Scores
Large databases with uncertain information are becoming more common in many applications including data integration, location tracking, and Web search. In these applications, ranki...
Mohamed A. Soliman, Ihab F. Ilyas