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KDD
2012
ACM
235views Data Mining» more  KDD 2012»
13 years 6 months ago
A near-linear time approximation algorithm for angle-based outlier detection in high-dimensional data
Outlier mining in d-dimensional point sets is a fundamental and well studied data mining task due to its variety of applications. Most such applications arise in high-dimensional ...
Ninh Pham, Rasmus Pagh
CVPR
2012
IEEE
13 years 6 months ago
Globally optimal line clustering and vanishing point estimation in Manhattan world
The projections of world parallel lines in an image intersect at a single point called the vanishing point (VP). VPs are a key ingredient for various vision tasks including rotati...
Jean Charles Bazin, Yongduek Seo, Cédric De...
IPPS
2008
IEEE
15 years 10 months ago
A modeling approach for estimating execution time of long-running scientific applications
In a Grid computing environment, resources are shared among a large number of applications. Brokers and schedulers find matching resources and schedule the execution of the applic...
Seyed Masoud Sadjadi, Shu Shimizu, Javier Figueroa...
CEC
2010
IEEE
15 years 5 months ago
An analysis of massively distributed evolutionary algorithms
Computational science is placing new demands on optimization algorithms as the size of data sets and the computational complexity of scientific models continue to increase. As thes...
Travis J. Desell, David P. Anderson, Malik Magdon-...
BMCBI
2004
159views more  BMCBI 2004»
15 years 4 months ago
Extractor for ESI quadrupole TOF tandem MS data enabled for high throughput batch processing
Background: Mass spectrometry based proteomics result in huge amounts of data that has to be processed in real time in order to efficiently feed identification algorithms and to e...
Andreas M. Boehm, Robert P. Galvin, Albert Sickman...