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» New Algorithms for Statistical Analysis of Interval Data
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VLDB
2004
ACM
119views Database» more  VLDB 2004»
16 years 5 months ago
Evaluating holistic aggregators efficiently for very large datasets
Indatawarehousingapplications,numerousOLAP queries involve the processing of holistic aggregators such as computing the "top n," median, quantiles, etc. In this paper, we...
Lixin Fu, Sanguthevar Rajasekaran
STOC
1993
ACM
264views Algorithms» more  STOC 1993»
15 years 9 months ago
Contention in shared memory algorithms
Most complexity measures for concurrent algorithms for asynchronous shared-memory architectures focus on process steps and memory consumption. In practice, however, performance of ...
Cynthia Dwork, Maurice Herlihy, Orli Waarts
BMCBI
2010
132views more  BMCBI 2010»
15 years 5 months ago
Consistency, comprehensiveness, and compatibility of pathway databases
Background: It is necessary to analyze microarray experiments together with biological information to make better biological inferences. We investigate the adequacy of current bio...
Donny Soh, Difeng Dong, Yike Guo, Limsoon Wong
POPL
2009
ACM
16 years 5 months ago
Compositional shape analysis by means of bi-abduction
This paper describes a compositional shape analysis, where each procedure is analyzed independently of its callers. The analysis uses an abstract domain based on a restricted frag...
Cristiano Calcagno, Dino Distefano, Peter W. O'Hea...
CVPR
2008
IEEE
16 years 7 months ago
Correlational spectral clustering
We present a new method for spectral clustering with paired data based on kernel canonical correlation analysis, called correlational spectral clustering. Paired data are common i...
Matthew B. Blaschko, Christoph H. Lampert